• US Citizen

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 30th Aug 2025

• 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 monitoring 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