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Tier-1 AWS brand, popular Data Engineer title, 3+ years mid-level, Bangalore metro increase candidate competition.
Core data engineering skills transferable across industries, though AWS infrastructure and supply-chain context adds moderate specialization.
Explicit 3+ years requirement plus mandatory SQL/Python and data pipeline skills enforce stringent filters.
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Design, develop, test, and deploy supply chain application and process automation using AWS cloud services and big data technologies.
Develop and optimize data pipelines for extraction, transformation, and loading (ETL) from diverse data sources using SQL, Python, and AWS tools.
Collaborate cross-functionally with product teams, data scientists, and BI engineers to deliver scalable data integration solutions and maintain production operations.
Minimum 3 years of data engineering experience.
Proficient in data modeling, warehousing, and building ETL pipelines.
Experience with one or more query languages such as SQL, PL/SQL, HiveQL, SparkSQL.
Experience with one or more scripting languages such as Python or KornShell.
Experienced in AWS cloud platform and big data technologies like Hadoop, Hive, Spark, EMR preferred.
Comfortable working with cross-functional teams including data scientists and BI engineers to architect APIs and UIs focused on business outcomes.
Capable of handling the full software development lifecycle and production-grade deployment and support of scalable data solutions.