Job TitleMust have skill: Snowflake SQL, Data warehouse, Python, AWS-Lambda, ETL/ELTJob Description: Required Skills:6-8 years+ experience on:Snowflake SQL – advanced SQL expertiseData warehouse experiences – hands on knowledge with the methods to identify, collect, manipulate, transform, normalize, clean, and validate data, star schema, normalization / denormalization, dimensions, aggregations etc., 6-8 years+ experience working in reporting and analytics environments – development, data profiling, metric development, CICD, production deployment, troubleshooting, query tuning, Atlassian Bitbucket and Bamboo, etc., 6 years+ onPython – advanced Python expertise6 years+ on any cloud platform – AWS preferred Hands on experience onAWS on Lambda, S3, SNS / SQS, EC2 is a bare minimum, 6 years+ on anyETL / ELT tool – Informatica, Fivetran, DBT, Airflow etc. - Must 6 years+ with developing functional metrics in any specific businessResponsibilities:• Lead data warehouse development activities for a team, leading more than one project in parallel.• Assign data warehouse development tasks to team of 1-6 developers (Onsite/Offshore).• Be a subject-matter expert (SME) in Data Warehouse domain and relevant business function.• Work with minimal supervision and provide status updates and escalation to leadership as appropriate.• Provides application support as part of an on-call rotation to work on resolving outages and user questions.• Review project objectives and determine best technology to apply.• Design and build large scale datasets for a wide range of consumer needs.• Build, test and implement highly efficient data pipelines using a variety of technologies.• Develop best practice standards for solution design and data structures.• Analyze new data sources to understand quality, availability, and content.• Write technical design documentation.• Conducts peer code reviews.• Create and executes unit tests.• Supports QA team during testing.• Mentor less experienced members of the development team.