Posted Apr 11, 2026
As a hiring partner for many IT organizations , we are hiring Sr. Data Engineer for Data Analytics team for product MNC. interested candidates can share word format resume withctc,notice period,location at : info@unimorphtech.com
Job Title: Sr Data Engineer - Analytics Experience : 6-10 Yrs ( 3-5+ Yrs Relevant Exp in Data Engg) Location:Chennai
# Purpose: The Data Engineer is responsible for the hands-on development, maintenance, and optimization of robust, end-to-end analytics data pipelines. You will leverage a modern cloud stack (Azure, Snowflake, dbt) to ingest and transform data according to Data Vault 2.0 standards,
# Key Skills : ETL,Data pipeline designing,DBT (Data build tool),Azure Data factory,ADLS,ADF,Python,Data lake Storage,data pipeline,data processing,data engineering,automated data ingesion,Azure,Snowflake,data vault 2.0,ETL,SQL,Python,data validation,Data movement,CI/CD tools,Git,Copilot,ChatGPT
# Highlights:
Typical Activities:
Build and maintain scalable, automated data ingestion and procesing pipelines using Azure, dbt, Snowflake to extract data from various source systems and load it into Snowflake for further processing. - Data Transformation & Modeling:
Use dbt (data build tool) to develop modular, testable SQL transformations. Implement physical Data Vault 2.0 structures (Hubs, Links, Satellites) based on architectural designs. - AI-Assisted Engineering:
Actively use AI coding assistants (e.g., GitHub Copilot, ChatGPT) to generate boilerplate code, write dbt tests, draft documentation, and troubleshoot SQL/Python scripts, significantly accelerating your delivery cycle. - Quality & Testing:
Ensure high data quality by writing comprehensive dbt tests and implementing automated data validation checks within the E2E architecture. - Collaboration:
Work closely with the Tech Lead, Data Architect, and business analysts in an Agile environment to understand requirements and deliver reliable data sets for downstream reporting. # Experience :
Bachelors degree in Computer Science, Information Technology, Engineering, or a related field. - Experience: 3-5+ years of hands-on experience in Data Engineering or Database Development. - Technical Expertise: Strong proficiency in writing complex, optimized SQL and solid scripting skills in Python. - o Hands-on experience building pipelines in Microsoft Azure (ADF, Data Lake Storage). - o Practical experience developing and performance-tuning within Snowflake. - o Experience using dbt for data transformation, testing, and documentation. - o Familiarity with incorporating AI-assisted development tools (like GitHub Copilot) into daily coding workflows. - o Understanding of Data Vault 2.0 concepts (Hubs, Links, Satellites) and how to populate them.
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