Posted on: 25/08/2025
Role : Data Engineer - Azure Databricks; Azure Data Factory; Azure SQL
Job Profile :
- Hands on in data processing using Azure Data bricks, complex data transformation using Pyspark or Python and building end to end data pipeline using Azure Data bricks
- job scheduling using Oozie or Airflow or any other ETL scheduler
- Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
- designing & delivering data analytics solutions using Azure Cloud native services.
- Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design
- Documentation of solutions (e.g. data models, configurations, and setup).
- Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
- internal as well as external stakeholder management
Candidates Profile :
- BE/B Tech, MCA/BCA with 6+ years of experience working Azure stack Azure Data bricks, Azure Synapse, ADLS, Azure SQL DB, Azure Data Factory, CosmoDB
- Proven experience in job scheduling using Oozie or Airflow or any other ETL scheduler
- Excellent communication and presentation skills.
- Immediate joiner in Bengaluru with PF Option & Background check
- Ready to work with mid-size Indian IT Services Company having 6000+ IT Professionals
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1535609
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