Required Skills

SQL Python DBT and Snowflake

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 :- 23rd Aug 2025

JOB DETAIL

·        11 plus years of overall IT experience.

·        Strong Python experiences mandatory.

·        Write effective, scalable code in Python.

·        Hands on experience with Python - Pandas library in detail & Numpy.

·        Advanced SQL skills are mandatory.

·        Ability to write complex SQL queries to query large amounts of data Hands on DBT development experience.

·        Design, develop, and maintain DBT models, transformations, and SQL code to build efficient data pipelines for analytics and reporting.

·        Mandatory hands-on coding experience in Unix Shell scripting.

·        Develop back-end components to improve responsiveness and overall performance.

·        Hands-on-experience in designing and building data pipelines in data analytics implementations such as Data Lake and Data Warehouse and development.

·        Salesforce CDP knowledge and Snowflake implementation will be a plus.

·        Integrate user-facing elements into applications

·        Writing Snowflake SQL queries against Snowflake Developing scripts like Unix, Python, etc. to do Extract, Load, and Transform data.

·        Good to have working experience with Airflow.

·        Good to have exposure to AWS eco systems.

·        Test and debug programs, Improve functionality of existing systems.

·        Implement security and data protection solutions

·        Coordinate with internal teams to understand user requirements and provide technical solutions

·        Support QA, UAT and performance testing phases of the development cycle.

·        Understand and incorporate the required security framework in the developed data model and ETL objects.

·        Define standards and procedures; refine methods and techniques for data extraction, transformation and loading (ETL) both in batch and “near real time” modes.

·        Design Data Integration, Data Warehousing, Analytics, Reporting & Data science strategies.

 

Company Information