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Mid-level, generalist Senior Data Engineer in Bengaluru at a recognizable brand creates high applicant competition.
Core data engineering skills (AWS, ETL, Python) are highly transferable across industries.
Explicit 6+ years plus mandatory AWS, ETL, Python, IaC, and data platform expertise enforces strict filtering.
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Design, develop, and maintain scalable, high-quality data ingestion and processing pipelines using AWS services and modern data architectures (medallion, lakehouse).
Build reusable platform capabilities across data ingestion, transformation, orchestration, quality, cataloguing, and monitoring to support enterprise data analytics.
Lead AI-enabled engineering efforts, CI/CD automation, infrastructure as code, and collaborate cross-functionally to deliver robust data solutions aligning with business goals.
6+ years of professional experience in Data Engineering with expertise in cloud-native data solutions and modern data platform patterns.
Proficiency in AWS data services (Redshift, S3, Glue, Lambda), Python programming, and experience with ETL/ELT pipeline design and development.
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
Location requirement: Must live within commutable distance to Bengaluru office with minimum 3 days per week onsite; must have right to work and live in India.
Experienced in architecting and optimizing scalable ETL/ELT workflows leveraging modern data architectures such as medallion and lakehouse on AWS cloud.
Capable of leading complex, AI-augmented engineering initiatives including integration of LLM tools and ML infrastructure like AWS SageMaker and Bedrock.
Strong pull towards automation, delivering quality through CI/CD, infrastructure as code, observability, and data governance in an enterprise agile environment.