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Mid-level popular data engineer role in Bangalore with broad Azure Synapse requirements and 3–6 year band increases competition.
Azure Synapse and big-data engineering skills are broadly transferable, though healthcare domain experience is beneficial.
Explicit 3–6 years plus mandatory Azure Synapse, ADF, Spark, SQL and Python requirements create highly strict shortlisting.
Design and develop large-scale data pipelines and utilities leveraging Azure Synapse Analytics to ingest and process terabytes to petabytes of data daily.
Develop and implement cloud migration strategies integrating on-premise and cloud applications, focusing on Azure Synapse environments.
Troubleshoot, optimize, and build automation tooling within Azure Synapse to support distributed systems at scale in healthcare-related projects.
3+ years of hands-on data engineering experience with expertise in Azure Synapse Analytics (SQL Pools, Spark Pools, Data Explorer, Pipelines).
Proficiency in SQL, Python/PySpark, and developing ETL/ELT pipelines using Azure Data Factory and Synapse Pipelines.
Experience building and supporting large-scale production systems and knowledge of big data storage and processing on Azure (including ADLS Gen2).
Work Location: Mumbai, Bangalore, or Trivandrum. Work Experience Required: 3 to 6 years.
Strong technical background in big data engineering specifically within Azure cloud platforms and distributed processing frameworks like Apache Spark.
Experience collaborating cross-functionally with cloud engineers, architects, DevOps, and site operations teams to deliver integrated solutions at scale.
Hands-on experience with migration and modernization projects in highly regulated or healthcare domain environments is preferred.