Required Skills

Snowflake data engineering DevOps Data Warehousing

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 13th Sep 2022

JOB DETAIL

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

Company Information