ADF Data Engineer

We’re looking for a Data Engineer (2–3 years) with strong hands-on experience in Azure Data Factory, Azure Storage, SQL and ETL/ELT pipelines. The ideal candidate can independently build & maintain ADF pipelines, manage data flows, and ensure smooth data movement across Azure services, who have worked closely in connecting to multiple data sources & transforming data & storing without any manual intervention
What you’ll do:
Build/modify ADF pipelines, datasets, linked services
Work with Copy Activity, Mapping Data Flows, triggers, Integration Runtime
Ingest and transform data using Azure SQL / Synapse
Implement incremental loads, data quality checks, and ETL best practices
Handle Blob/ADLS storage, file structures, partitions, access keys
Debug pipeline failures and optimize copy/transformation performance
Collaborate with analysts & leads to deliver clean, reliable data
Support deployments across dev → test → prod
Nice to have: Azure DevOps, ADLS architecture, Databricks/PySpark, basic automation scripts.
Who you are:
A mid-junior engineer who understands end-to-end Azure data workflows, can take ownership of daily/weekly jobs, and is comfortable troubleshooting and documenting pipelines.
If you’re passionate about building scalable, cloud-native data pipelines using Azure — we’d love to meet you!

Job Type: Full-time

Pay: ₹30,000.00 - ₹50,000.00 per month

Benefits:

• Health insurance
• Provident Fund

Ability to commute/relocate:

• Rangareddy, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Work Location: In person