Sr.Data Engineer
On-site · Bengaluru, Karnataka, India
Job Summary
Design, build, and maintain scalable data platforms and pipelines across AWS and Azure. Leverage Databricks, Snowflake, SageMaker, and Amazon Bedrock to support analytics, AI/ML, and business intelligence use cases. Collaborate with data scientists, analytics teams, and business stakeholders to develop data models, orchestrate ETL/ELT workflows, enable self-service analytics, and implement data governance, security, and cost optimization. Emphasis on scalable, secure architectures, multi-cloud strategies, and DevOps practices (CI/CD, IaC) to deliver reliable data solutions.
Required Qualifications
- Strong experience with Python and SQL
- Hands-on experience with Databricks (Apache Spark)
- Proven experience building solutions on AWS and/or Azure
- Experience with Snowflake data warehouse
- Experience supporting ML or AI workloads using SageMaker and Amazon Bedrock (or equivalent services)
- Knowledge of data integration tools, APIs, and message/streaming platforms
- Understanding of data modeling principles and analytics use cases
- Familiarity with DevOps concepts, CI/CD, and IaC
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