GDB/ZE-Cloud Data Engineer(M/F/D)

Benefits

Parental leave

8 weeks From the posting source

Non-birth-parent leave

8 weeks From the posting source

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

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

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

GDB/ZE-Cloud Data Engineer(M/F/D) Country / Location India Objective of the position Describe your Product Mission here / objective of the role. At our unit “Data Foundation - Big Data Management” we aim to offer organizations a robust and scalable solution for managing and deriving insights from vast quantities of data. By utilizing Azure's PaaS components, our platform streamlines the deployment and handling of Big Data workloads, empowering our clients to make data-driven decisions and propel business expansion. Our team is accountable for the creation and upkeep of the Big Data platform built on Azure PaaS components EDL (Enterprise Data Lake). We collaborate intensively with stakeholders to comprehend their needs and devise solutions that fulfill their expectations. The team is also in charge of guaranteeing the platform's scalability, dependability, and security, and for staying abreast with the newest technologies and trends in the big data domain About the Job: We are seeking a highly motivated and detail-oriented candidate who will be responsible for all data engineering aspects of the data product layer of our Enterprise Datalake, working with Azure and Databricks, maintaining/developing our framework and CI/CD pipelines and processes in an ambitious team. Main tasks Develop, extend and optimize the data product layer of our Enterprise Datalake with high code standards, tests and suitable documentation to meet both user and internal needs. Collaborate with the product owner and architect to understand data requirements and

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