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Job Description
Structured overview of role & requirementsAbout This Role
Plan and implement data flow design and provide sizing/configuration assistance.
Design, build, and troubleshoot Azure Data Pipelines and hybrid data solutions integrating on-premise and cloud services.
Develop and deploy production-quality ML workflows and manage development tasks including testing and post-production support.
Minimum Requirements
4 to 7 years of relevant work experience in data engineering.
Strong hands-on expertise in Spark/PySpark and SQL query writing with performance optimization.
Proficiency in Python (preferred), Java, or Scala programming languages.
Work location in Mumbai, Bangalore, or Trivandrum with a notice period of 0-15 days (only candidates actively serving notice).
Ideal Candidate Profile
Experienced with Azure cloud platform and Azure Data Factory; familiarity with AWS or GCP is acceptable.
Skilled in data warehousing using Snowflake or Synapse and dimensional modeling for data marts.
Capable of independently handling detailed technical documentation, deployment, and cross-team coordination.