Senior Expert

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Expert Chennai, TN, India Company Description: Job Description: We are seeking a highly experienced Azure Data Engineer with 10+ years of hands-on experience, specializing in Azure Data Factory and Azure Databricks, to design, build, and manage scalable, secure, and high-performance data platforms on Microsoft Azure. The ideal candidate will be deeply skilled in ETL/ELT engineering, distributed data processing, and cloud-native data architecture, and will play a key role in transforming complex data from multiple sources into reliable, analytics ready datasets that support business and operational decision-making. Key Responsibilities Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory and Azure Databricks. Ingest and integrate data from on-premises systems, cloud platforms, APIs, and flat files into Azure-based data platforms. Build and optimize data processing frameworks using Databricks (PySpark / Spark SQL) for large-scale data transformation. Develop and manage data models and curated datasets in Azure Data Lake Storage Gen2, Azure SQL Database, and Azure Synapse Analytics. Architect scalable, secure, and cost-efficient data storage solutions using Azure-native services. Optimize Databricks clusters and ADF pipelines for performance, reliability, and cost efficiency. Monitor, troubleshoot, and resolve pipeline and data quality issues using Azure Monitor, Log Analytics, and native service diagnostics. Collaborate closely with business stakeholders and downstream consumers to understand data requirements and delivery expectations. Translate business and analytical needs into technical data engineering solutions aligned with enterprise architecture standards. Implement data security, encryption, and role-based access control (RBAC) across the data platform. Ensure data pipelines and storage comply with organizational policies

Read the full description at jobs.smartrecruiters.com. FewerJobs shows a preview and links to the original posting.