• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 20th Jan 2026

Lead Snowflake Data Engineer: Full Time Position

• Design, develop, test, and deploy data engineering pipelines into Snowflake Cloud Data Warehouse on AWS
• Develop multiple incremental loads using AWS Services, Snowflake ELT Streams and Tasks or external ETL tools
• Code and test SQLs in Snowflake
• Create generic code templates and standards for reuse
• Participate in design and code reviews and provide suggestions
• Take ownership for deliverables from the team members

Technical Skills:

• 5+ years of strong development experience in Snowflake Cloud Data Platform (high performance Bulk Data Loads, SnowPipe, Streams, Tasks, SQLs, etc.)
• Must have played a Lead or Architect role on at least 2 Data Warehousing or Data Lake projects
• 3+ years of data engineering experience on AWS cloud platform using services such as S3, and Glue
• Must be good in coding SQLs
• Must have strong Data Warehousing conceptual knowledge
• Must have experience in incremental data ingestion and processing (real-time or near-real-time)
• Must be able to work on multiple tasks
• Must be a self-starter and willing to learn
• Must be hands-on
• Must be client-facing
• Must have strong verbal and written communication skills

Desired Skills:

• Experience in Spark (Python, Scala, or SQL) is a plus
• Experience in Python (pandas, pyodbc, snowflake.connector, os, etc.) or SQL Server Stored Procedures is highly desirable
• DataOps, or DevOps experience is a plus
• Experience in Talend or DataStage or Matillion is a big plus