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Mid-level data engineer in Bangalore with broad required skills and known employer yields high competition.
Core data engineering skills transfer across industries, though healthcare project experience preference increases domain specificity.
Explicit 4–8 years requirement plus mandatory Spark, Snowflake, AWS and SQL skills increases shortlisting strictness.
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Develop and optimize ETL/ELT data pipelines using Spark, Python, SQL, and AWS services including EMR, Glue, and Lambda.
Lead technical coaching and enforce coding standards to enhance team capability and code maintainability.
Collaborate with cross-functional teams to align technical deliverables with business goals and ensure data streaming and ingestion processes are robust and efficient.
4-8 years experience with Spark ecosystem, Python/Scala, MongoDB, Snowflake, and AWS (EMR, Glue, S3).
6+ years IT experience including SDLC/Agile methodologies.
Proficient in advanced SQL query writing and optimization across multiple database platforms.
Bachelor's or Master's degree in Computer Science, IT, or equivalent.
Experienced in building and tuning big data pipelines in cloud environments, specifically AWS and Snowflake.
Proven track record of mentoring and coaching developers on technical skills and problem-solving within agile teams.
Skilled in working with diverse data formats and real-time streaming technologies like Kafka, with healthcare IT project experience being advantageous.