Data/ETL Engineer

Ascendion · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:05 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 50341871

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Collected minimum qualification: Experience with Azure ecosystem servicesAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Job Description: Role: Data Engineer (Azure Databricks) Primary / Mandatory Skills Azure Databricks Azure Data Factory (ADF) PySpark Python SQL Data Warehousing concepts (Star Schema, Snowflake Schema, ETL/ELT, Dimensional Modelling) Experience in designing and developing scalable data pipelines Strong understanding of data integration, transformation, and optimization techniques Secondary / Good to Have Skills Power BI Data visualization and dashboard development Experience with Azure ecosystem services Supply Chain domain expertise

Collected minimum qualification

Experience with Azure ecosystem services