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Tier-1 brand, mid-level generalist data role in Bangalore with common Spark/Scala skills increases candidate competition.
Specialized data tooling required but skills (Spark, SQL, cloud) remain transferable across industries.
Multiple mandatory skills (Spark/Scala, AWS Glue, Snowflake) and explicit 5–10 years experience increase shortlisting rigidity.
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Develop and maintain data engineering solutions using Spark and Scala on AWS Glue environment.
Handle data workflows involving Snowflake and strong SQL coding to support cloud data infrastructure.
Implement and manage CI/CD pipelines and SDLC processes for data engineering projects.
5 to 10 years of experience in data engineering.
Strong hands-on experience with Spark and Scala.
Familiarity with AWS Glue and Snowflake platforms.
Proficiency in SQL and practical coding skills.
Experienced working in cloud environments with exposure to data migration and hybrid on-prem/cloud setups.
Comfortable with CI/CD tools, Git, and structured software development lifecycles.
Effective communicator capable of articulating technical concepts clearly.
Strong fundamentals in data engineering concepts and practical coding ability.