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Tier-1 brand, metro Hyderabad, mid-level generalist analytics role with broad technical requirements.
Core data engineering skills are broadly transferable across industries; streaming experience is preferred but not mandatory.
Explicit 6+ years plus mandatory BI, ETL, SQL, and big-data skills increase screening strictness.
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Design and implement data models, pipelines, and visualization frameworks that support flexible querying and business intelligence for Commerce & Growth Analytics.
Manage end-to-end data solutions from requirement gathering to deployment, ensuring business logic accuracy and data quality.
Lead automation and anomaly detection efforts to improve team productivity and data reliability, and mentor junior data analytics engineers.
Bachelor's degree or higher in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related quantitative field.
6+ years of experience in business intelligence or data engineering.
Expertise in SQL, data warehousing concepts (star schemas, slowly changing dimensions, ELT/ETL), and big data technologies (Spark, Kafka, Hive).
Experience with BI tools (Looker, Tableau), programming (Python, Java, Go), and version control/CI-CD practices (Git).
Experienced in managing complex analytics projects within Commerce and Growth domains including subscription and streaming product data.
Skilled in building scalable automated data workflows and frameworks to enhance productivity across data teams.
Comfortable leading cross-functional collaborations and mentoring junior engineers, with a strong attention to data quality and problem-solving in ambiguous environments.