Required Skills

Snowflake Data Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 30th Aug 2025

JOB DETAIL

 

• Snowflake (Columnar MPP Cloud data warehouse) • DBT (ETL tool) • Python • Experience designing and implementing Data Warehouse • Bachelor's degree (B. A. / B. S.) from four-year college or university • Overall, 7-9 years’ experience as Data Engineer on the Microsoft Azure cloud platform • Strong understanding of Azure services and expertise on Data Lake, Data Factory and Data Bricks • Healthcare industry experience preferred. • Deep experience with SQL, database design, optimization, and tuning • Experience with open-source relational database (e.g. PostgreSQL, MSSQL, etc.) • Experience in Shell Scripting and one other object-oriented language such as Python, or PhP. • Strong experience in continuous integration and development methodologies tools such as Jenkins, and experience using GitHub. • Experience in an Agile development environment • Programming skills particularly SQL, Shell Scripting, and Python • Good oral and written communication skills Responsibilities: • Managing data activities such as data requirements gathering, data analysis/modelling, and data issues resolution using standard approved technology • Managing standardization, migration, transformation, validation, and quality assurance of data within multi-database platforms • Leveraging internal and external ETL tools for data processing and publishing • Identifying and maintaining company databases, including data sources, data structures, data organization, and data optimization • Identifying complex issues proactively and is responsible to see them through resolution, including identifying trends through data analysis and manipulation. • Specific client data life cycles from discovery to implementation to maintenance • Formulating and monitors policies, procedures, and standards relating to database management • Responding to production defects and relaying information back to the Operations Manager to communicate with clients. • Contributing to all phases of the data and software development lifecycle when needed • Creating and maintaining code through GitHub repository for change control • Supporting off hours data processing and emergency requests

Company Information