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Generalist mid-level data analyst role, metro location, and broad SQL/Spark/ETL requirements increase applicant competition.
SQL, Spark and ETL skills are broadly transferable across industries, so background fit sensitivity is low.
Explicit 3+ years requirement plus mandatory SQL, Spark and ETL skills enforce strict technical screening.
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Write and optimize SQL and Spark SQL queries for data extraction and analysis.
Support ETL setup and perform data quality checks and root cause analysis.
Create reports and dashboards using BI tools and analyze Java logs for troubleshooting.
3+ years of experience in SQL, Spark SQL, and Unix commands.
Bachelor’s degree in Computer Science, Information Technology, or related field.
Exposure to ETL tools and data pipeline concepts.
Hybrid work model requiring minimum two days a week in assigned office location.
Experience with cloud platforms like GCP or AWS is preferred.
Familiarity with version control systems such as Git.
Ability to collaborate effectively with cross-functional teams to understand requirements and deliver solutions.