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Tier-1 brand, Bangalore metro, mid-level generalist data role with common skills increases applicant competition.
Core data engineering skills (Spark, Snowflake, Glue) are widely transferable across industries.
Explicit 5–10 years requirement plus mandatory Spark/Scala, AWS Glue, Snowflake skills makes shortlisting strict.
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Develop and maintain data engineering solutions primarily using Spark and Scala on cloud platforms like AWS Glue.
Manage data workflows and pipelines including working with Snowflake and ensuring data migration and integration in cloud and on-prem environments.
Implement and support CI/CD pipelines and version control practices (Git) to ensure robust software development lifecycle adherence.
5 to 10 years of professional experience in data engineering or related roles.
Strong hands-on experience with Spark and Scala programming.
Proficient in AWS Glue and working knowledge of Snowflake.
Strong SQL skills and familiarity with SDLC/CI-CD pipelines and Git.
Experienced in managing end-to-end data engineering projects with practical coding expertise and strong fundamentals.
Comfortable working across both cloud and on-premises environments, including data migration tasks.
Capable of clear communication and effectively articulating technical concepts to stakeholders.