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Metro Bangalore senior data engineer with common Spark/AWS skills and broad requirements, moderate competition.
Data engineering skills are broadly transferable across industries, so background sensitivity is low.
Explicit 9+ years plus mandatory Spark/Scala/AWS and GenAI skills enforce strict filters.
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Design and deliver end-to-end data solutions that meet business objectives with a focus on scalable ETL pipelines and data architectures.
Lead or contribute to technical design and implementation while collaborating across business, operations, and engineering teams.
Drive engineering best practices, continuous improvement, and ensure solutions comply with enterprise risk and governance standards.
9+ years of experience in Data Engineering, Analytics, or Data Warehousing.
Strong technical skills in Spark, Scala, AWS cloud data engineering, Oracle SQL/PL-SQL, and experience with Big Data platforms such as Teradata, Hadoop, and Hive.
Experience with GenAI frameworks like Lang Chain, Llama, Hugging Face is required.
Work Experience Required: 9+ years
Experienced in leading technical design and influencing stakeholders to deliver secure, scalable, and highly available data solutions.
Practical knowledge of Agile delivery methodologies from ideation to production.
Able to work effectively in cross-functional teams bridging business, operations, and engineering domains.