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Strong Tier-1 brand, metro Bengaluru, mid-level generalist data role with broad skill requirements.
Data engineering skills (SQL, Spark, ETL) are highly transferable across industries.
Explicit 2+ years plus mandatory SQL and programming skills indicates moderate filtering.
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Develop and manage scalable data solutions and pipelines to enable data-driven decision-making across LinkedIn products.
Collaborate with cross-functional teams including product, marketing, sales, engineering, and operations to build infrastructure and data tools.
Design and implement performant, documented systems for large-scale data flows and analysis, while promoting best practices within the data ecosystem.
Bachelor’s degree in quantitative disciplines such as computer science, statistics, engineering, applied mathematics, or economics.
2+ years of industry or academic experience working with large datasets.
Proficiency in SQL and experience with relational databases.
Programming experience in at least one of: R, Python, Java, Scala, or PHP.
Experienced in designing and implementing complex data pipelines and ETL workflows, preferably with tools like Spark and Hive.
Comfortable working with distributed data systems such as Hadoop and related technologies.
Strong ability to translate analytical objectives into actionable data solutions and to collaborate effectively with cross-functional teams.