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Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain secure, scalable AWS data pipelines, warehouses, and lakes ensuring accurate, accessible data.
Design and implement data transformation and storage solutions primarily using Snowflake and AWS Data Analytics stack.
Collaborate with data scientists to develop and deploy machine learning models; lead or guide team activities and ensure governance and risk controls.
Minimum Requirements
5+ years developing, testing, and maintaining applications on AWS Cloud.
Strong hands-on experience with AWS Data Analytics stack including Amazon S3, AWS Glue, Athena, Lambda, IAM, Lake Formation, KMS, STS, Step Functions.
Experience with Airflow, PySpark, Python, Snowflake data ingestion and transformation, DBT, advanced SQL/PL SQL.
Location requirement: Pune or Chennai; work experience explicitly stated as 5+ years.
Ideal Candidate Profile
Experienced in building reusable components and automation within Snowflake and AWS toolsets, capable of independent solutions design.
Proficient in translating stakeholder requirements into ETL components and knowledgeable about data governance and data warehousing concepts.
Comfortable working in roles involving team leadership or technical advisement with focus on governance, risk management, and collaboration across business functions.