Hive jobs

Senior Linux System Engineer - ACS Seattle, United States of America Build and solve Linux production systems at scale. Multi-datacenter deployment and supporting a large-scale Linux environment with heterogeneous hardware. Build automation tools and scripts using Bash, Python, Go, etc. Design and support orchestration pipeline using Ansible and Puppet. Familiarity with Hadoop and its ecosystem Hive, Pig, Spark, HDFS, HBase, Oozie, Zookeeper, etc will be useful in this role. Fix and address issues with UNIX and TCP/IP network stack components. Design and support Linux systems (RedHat/OEL/CentOS etc) including automated OS installation, Linux certification, compile and validate various kernels, package management, OS lifecycle management, diagnostic, and performance troubleshooting/profiling. - This is Senior Linux system Engineer position with dedicated focus on E2E system validation - Build, Automate and support critical infrastructure supporting applications used across multiple teams - Run different automation pipelines in the large ecosystem, including provision, orchestration, and monitoring on Linux baremetal and Linux Virtual Machines - Collaborate across teams to run workloads and analyze/debug data - Evolve and modify the Analytics Platform based on requirements - Write code, tests, documentation, participate in code reviews

Director Global Demand Generation United States - Remote Director Global Demand Generation

Site Lead – Berlin Fulfillment Center (BER3) (f/m/d) Berlin Total Compensation Range: €72,930 - €104,550 The Position BER3 is our Berlin flagship - and the site where we pilot the processes, tools, and automation that later scale across the whole Hive network. We're looking for a Site Lead to own it end-to-end: its people, its performance, its P&L, and its standard of excellence. You'll run a site of ~200 associates across all different areas leading through a team of Area Managers. This is a hands-on leadership role - you set the standard on the floor, not from a desk. You're first in and last out when it matters, calm under pressure, and you turn problems into proposals. Your Key Responsibilities : Own the building end-to-end. Take full accountability for BER3's P&L, productivity, quality, safety and team health. Hitting monthly, quarterly and annual budget targets and treating every cost line and KPI as yours. Flag deviations early with a plan, not a surprise. Run safe, high-quality daily operations. Keep associates safe and compliant as your first priority. Own order accuracy, customer NPS and health scores. Be visible on the floor, regular Gemba walks, shift-start presence during peaks, and time close to the work and the merchants you serve. Lead and grow people. Coach your Area Managers with weekly 1:1s, clear growth paths and honest, regular feedback. Build a skills matrix, develop successors, and manage performance in line with our value of caring meritocracy. Keep a motivated team and low churn of

Registered Nurse (Warren Clinic) - Endocrinology Warren Clinic - Springer Warren Clinic - Springer

Staff Data Engineer Gurugram The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you'll do - Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies - Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture - Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers - Design and build AI agents that can help automate many of the common development and support tasks that the team performs - Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place - Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable We're looking for someone with - 10+ years experience working on enterprise data lakes/warehouses - 5+ years of Spark and Python experience - 5+ years of direct hands-on experience working with AWS or GCP - Thorough AI knowledge, particularly with codegen tools and agentic frameworks - Hive, Iceberg, Glue, or other technologies that expose big data as tables - Familiarity with different big data file types such as

Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR) Redmond, Washington, USA Want to change the world with Big Data and Analytics? Come join us on the Amazon EMR team in Amazon Web Services! Amazon EMR is a web service which enables customers to run massive clusters with open-source data processing frameworks like Apache Hadoop, Spark, Hive, Presto, HBase and more, with the ability to effortlessly scale up and down as needed. We run large number of customer clusters, enabling a variety of customer use cases including analytics and web-scale machine learning. We are developing innovative new features including our next-generation cluster management system, improvements for real-time processing of big data, and ways to enable customers to more easily interact with their data. We're looking for top engineers to build them from the ground up. By joining our team, you will get to work with a minimum of technical supervision, while playing a variety of roles as needed to respond efficiently to multiple program priorities. You will get to collaborate with some of the best and brightest minds in the industry. You'll enjoy a competitive salary, great benefits, a creative and agile work environment, and the exciting opportunity to be part of a fast-paced and growing team and one of the most innovative technology companies - but most of all, you will get the satisfaction of making products that millions use everyday to great effect! For more information: AWS Big Data Blog: https://aws.amazon.com/blogs/big-data/ AWS EMR: https://aws.amazon.com/emr/ Key job responsibilities

Sr. Manager, Business Development - North America United States - Remote Sr. Manager, Business Development - North America

Principal Technology Manager, Business Data Technologies Seattle, Washington, USA Amazon's eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale. As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect exabytes of data from thousands of data sources inside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service's (AWS) Redshift, Hive, Spark and Oracle. We build scalable solutions that grow with the Amazon business. Are you passionate about Program Management and technology? Are you passionate about eliminating redundant efforts that solve similar customer needs? Here's your chance to lead a highly visible initiative with significant business impact. The senior leaders need a light weight mechanism to help bring visibility, share best practices, and provide better communication and collaboration across teams. This role works closely with Tech Director, VPs and Principal Engineers to identify patterns, new trends, goals and areas for cross-org collaboration. This role is unique in that it does not support just one organization, instead focuses on best practices that can be applicable to several or all within Stores, Devices and Others. In this role, you will

Sr. Solutions Engineer Spain Sr. Solutions Engineer

Engineering Manager, HADR Seattle Engineering Manager, HADR Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The group is responsible for offering data-serving infrastructure spanning across data warehouse analytics, streaming analytics, and search capabilities. The stack is supported by a collection of internally developed large-scale distributed services and several popular open-source technologies like Trino and Presto, Apache Pinot, Hive Metastore, Elasticsearch, etc. The systems we own support all of the data-serving needs of high-scale services and thousands of individual Stripes across the company. We process hundreds of thousands of search and analytics-shaped queries on petabytes of data ingested through real-time streaming and large-batch ingestion pipelines. We are the data-serving layer for one of the largest financial data lakes in the world. We're looking for a manager who is excited about Data Serving architecture and leading a team to solve challenging distributed systems problems, as well as developing empathetic partnerships with other Stripe teams to understand their use cases and unlock new capabilities. What you'll do Responsibilities • Work on a high-visibility team and be part of

Assistant, Office Services in Vienna

Software Development Engineer, AWS EMR East Palo Alto, California, USA Do you enjoy working on large-scale distributed systems? Do you want to influence how the world interacts with and analyzes large data sets across a number of industries and use cases? The AWS EMR Control Plane team is looking for smart engineers to work on scaling a heavily used AWS Service. If you want to work with a team solving some of the most interesting challenges in distributed systems, building solutions for large scale problems, please talk to us! Amazon EMR is the industry leading cloud-native big data platform for processing vast amounts of data quickly and cost-effectively at scale. Using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, and Presto, coupled with the dynamic scalability of Amazon EC2 and scalable storage of Amazon S3, EMR gives analytical teams the engines and elasticity to run Petabyte-scale analysis for a fraction of the cost of traditional on-premises clusters. We are developing innovative new features including our next-generation cluster and work management system, improvements for real-time processing of big data, and ways to enable customers to more easily interact with their data. In this role, you will have the opportunity to collaborate with and learn from senior and principal engineers who are domain experts at AWS. You will be part of a collaborative and growing team working on complex problems for a successful and long-running product. You will have an opportunity to learn and influence how our

Senior Staff BD Account Executive, Hivemind - Premier/SIs (R5143) Remote Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking a high-performing Business Development / Account Executive to drive growth for Hivemind Autonomy across the Americas, with a primary focus on U.S.-based defense and government customers. This role is responsible for identifying, shaping, and closing complex opportunities while building enduring customer relationships and executing disciplined capture strategies. You will partner closely with Sales Leadership, Product, Engineering, and Strategic Engagement teams to align customer needs with Hivemind's autonomy capabilities and deliver mission-critical outcomes. The ideal candidate is a customer-first, technically credible seller with strong capture instincts, experience navigating defense acquisition processes, and a proven track record of winning and expanding strategic accounts. Job Description: Shield AI is seeking a high-performing Business Development / Account Executive to drive growth for Hivemind Autonomy across the Americas, with a primary focus on U.S.-based defense and government customers. This role is responsible for identifying, shaping, and closing complex opportunities while building enduring customer relationships and executing disciplined capture strategies. You will partner closely with Sales Leadership, Product, Engineering, and Strategic Engagement teams

Software Engineer, Data Orchestration N/A Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team's systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales and Operations, Finance, etc. Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg. What you'll do As a Software Engineer on this team, you'll design and build infrastructure that powers batch data processing at Stripe. Responsibilities Design, build, and

Sr. Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR), EMR EKS East Palo Alto, California, USA Want to change the world with Big Data and Analytics? Come join us on the Amazon Web services (AWS) Elastic MapReduce (EMR) team! EMR is a massively scaled distributed service that gives users fast and predictable Big Data performance with clusters running Hadoop, Hive, Pig, Impala, Spark, Presto, HBase and more, with the ability to effortlessly scale up and down as needed. We run millions of customer clusters, enabling processing on vast datasets. We are developing innovative new features including the next-generation cluster management system, real-time processing for big data and intuitive ways of interacting with data, and we're looking for top engineers to build them from the ground up. This is a hands-on position where you will be do everything from designing and building extremely stable components and features for the savviest customers in the business to help them get the best results. You will have a chance to work with the open source community and contribute significant portions its software to open source projects possibly including Hadoop, Spark, Pig and Hbase. You need to not only be a top software developer with excellent programming skills, an understanding of big data and parallelization, and a stellar record of delivery but also excel at leadership and customer obsession and have a real passion for massive-scale computing. If you want to truly test your mettle against the hardest challenges in distributed systems to

System Integration and Test Engineer Cambridge, MA posted: Posted 17 Days Ago

Sr. Solutions Engineer - West Coast United States - West Coast Sr. Solutions Engineer - West Coast

Data Engineer Singapore Securing the Future with AvePoint AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com . At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us! Key Responsibilities - Analyze data needs and document technical requirements. - Migrate data collection processes to more efficient channels. - Plan, design, and implement data engineering jobs and reporting solutions to meet analytics needs. - Develop test plans and scripts for system testing and support user acceptance testing. - Collaborate with technical teams to ensure smooth deployment and adoption of new solutions. - Ensure the smooth operation and performance of IT solutions, including addressing production issues. What We Are Looking For - Strong understanding of waterfall/Agile methodologies. - Hands-on experience with DevOps deployment and data virtualization tools such as Denodo (preferred). - Proficiency with reporting or visualization tools like SAP BO and Tableau. - Experience working with Hive, Impala, and Cloudera Data Platform is preferred. - Expertise in big data engineering, using Python, Pyspark, Linux, and ETL tools

Software Development Engineer II - Advertising, Amazon, Reporting API Toronto, Ontario, CAN Are you passionate about Big Data and Distributed Systems to build customer trust and grow new business? Interested in building new state-of-the-art products at Petabyte scale? Global advertisers rely on our team's performance insights to drive future investment in Amazon's Advertising Platform and improve the relevance of ads shown to customers. We're looking for strong Software Engineers that can build upon technologies such as Elasticsearch, Spark, Hive and Presto, as well as AWS services like Elastic Map Reduce (EMR), Redshift, Kinesis and DynamoDB to deliver next generation of our Reporting API platform. If this sounds interesting we'd love to hear from you! Amazon is investing heavily in building a world class advertising business and we are at the forefront of that explosive growth. We deliver campaign reporting for all of Amazon advertising and produce analytics and reporting data that are used by advertisers to grow their business every day. We process billions of ad impressions, clicks, and conversion events daily and we invent and evolve our event-driven architectures with AWS to manage the large scale of our data growth. As campaign reporting product owners, we are also breaking fresh ground to create world-class analytics products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and agile bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. We start with the

Staff Software Engineer - Apache Spark 7 Locations posted: Posted 7 Days Ago

Systems Integration & Test Engineer Cambridge, MA posted: Posted 30+ Days Ago

(Junior) Finance Manager (FP&A) - (f/m/d) Berlin Total Compensation Range: €45,000 - €60,000 The position If you're excited about working in a fast-paced, high-growth environment and want to take the next step in your Finance career, this role is for you. We're looking for a driven and analytical (Junior) Finance Manager (FP&A) to join our Finance team in Berlin. In this role, you'll take ownership of core financial planning and analysis activities, including monthly management reporting, forecasting, budgeting, and financial modeling. You'll work closely with senior finance leadership and cross-functional stakeholders to translate data into insights that shape strategic decisions. Your mission: You'll play a key role in scaling and professionalizing our Finance function. This includes continuously improving our FP&A processes, increasing automation across reporting and forecasting workflows, and leveraging modern tools including AI-driven solutions to enhance data quality, speed, and decision-making. You'll gain broad exposure to all of Hive's markets, service offerings, and financial dynamics, developing a strong understanding of how each contributes to our overall business model and long-term growth. Your responsibilities Own and continuously improve monthly management reporting , including KPIs, variance analyses, and business performance insights Drive forecasting, budgeting, and long-term financial planning , improving accuracy and transparency Build and maintain financial models to support strategic, investment, and operational decisions Automate and scale FP&A processes , including improving data structures, dashboards, and ad-hoc analyses to enable accurate, data-driven decision-making Partner closely with business stakeholders to translate operational data into actionable financial insights Your profile We know-you

Senior Analyst, Data Modeling Shanghai, SH, China Company Description: Job Description: Job Summary Responsible for executing technical and statistical aspects of modeling and analytical projects and for ensuring that projects are delivered to the high-quality standards and timeline agreed with clients. This role will involve collaborating closely with commercial managers and being responsible for projects with guidance from senior analysts or managers. Responsibilities To execute daily modeling work including but not limited to data processing, model adjustment, result validation and ensure that clean, robust, and meaningful results are delivered in response to commercial brief To identify and solve quality and statistical data issues that may arise throughout the course of the project To manage the technical and statistical parts of analytical products To participate in and contribute to customized projects and the development of innovative solutions to support functional and industry applications To support commercial teams in the initial project design and answer technical questions that may arise in results presentation to clients Qualifications: Being familiar with Python is necessary Solid statistic knowledge and has capability to design new methodology Good understanding of frequently used Machine Learning Algorithm (e.g., decision tree, random forest, SVM, XGBOOST, network analysis, etc.) Good analytical skills and problem-solving skills Effective communication and project management skills are needed Knowledge with R, VBA, SQL, Visualization tool (e.g. Power BI) would be a plus Experience using Spark/Pyspark would be a plus Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) would be a

Business Analyst, Inventory Placement Bengaluru, Karnataka, IND We are seeking a highly analytical and business-savvy Business Analyst to join our Inventory Placement team. In this role, you will be the analytical engine behind decisions that determine where inventory sits across our fulfillment network - directly impacting customer delivery speed, shipping costs, and inventory health at scale. You will partner closely with Program Managers, Operations, Supply Chain, and Tech teams to identify inefficiencies, surface insights from large and complex datasets, and translate them into actionable recommendations. The ideal candidate is someone who lives and breathes data, has strong SQL chops, can build dashboards that tell a story, and brings sharp business acumen to identify and solve hard, ambiguous problems. We are looking for a hands-on operator - someone who does not wait for clean data or perfect requirements, but rolls up their sleeves, digs into the problem, and drives it to closure. Key job responsibilities ∙ Deep-dive analytics: Independently scope, design, and execute complex analyses on inventory placement, network flow, regional demand patterns, fill rates, and outbound shipping cost drivers. Translate raw data into clear, actionable business insights. ∙ Dashboard and reporting ownership: Build, automate, and maintain self-serve dashboards (QuickSight, Tableau, or similar) that give stakeholders real-time visibility into key placement, inventory health, and network performance metrics. ∙ SQL and data engineering: Write efficient, production-grade SQL on large datasets (Redshift, Hive, Athena). Build and maintain ETL pipelines, data marts, and reusable datasets that scale across the team. ∙ Problem identification: Proactively