Technical Lead Data Engg

As a hiring partner for many IT organizations we are hiring Technical Lead of Data Engineering,Global Analytics team for Product MNC.

Interested candidates can share word format resume at : info@unimorphtech.com

Role: Technical Lead Data Engg - Analytics
Experience : 7+ Yrs ( 3+ Yrs as Data Engg Lead)
Location : Chennai

# Purpose :
The Technical Lead is the driving force behind the execution and delivery of our enterprise data solutions. You are responsible for leading a squad of data engineers to build and deploy robust, E2E analytics pipelines using Azure, Snowflake, and dbt. By deeply understanding our Data Vault 2.0 architecture and championing AI-assisted development tools, you ensure the team writes high-quality, scalable code faster and more efficiently.

# Key skills :
SQL,Python,Data engineering,Data solutions,code review,Data pipeline,Azure, Snowflake,dbt,Data vault architecture,Data Factory, Synapse, ADLS,AI driven solutions,Query performance,Python, Git, CI/CD,Azure DevOps.

# Highlights :

• Implementation of data solutions,
• Translate logical data solutions & Data vault models to physical solutions,tables and data pipelines.
• Lead AI-assisted coding tools (e.g., GitHub Copilot) to generate automated SQL/DBT codes.
• Own the CI/CD pipeline and code review process.
• Data validation in DBT,testing,review,governance,best practices.
• Partner with Product Owners and Scrum Masters

# Typical Activities:

• Leading daily stand-ups and sprint planning technical breakdowns.
• Reviewing dbt pull requests and optimizing Snowflake query performance.
• Writing complex SQL transformations and Python scripts for data ingestion via Azure.
• Collaborating with the Solution/Data Architect to ensure pipeline designs align with the E2E architecture.
• Tools/Technologies: Snowflake, dbt, Azure (Data Factory, Synapse, ADLS), Python, Git, CI/CD tools (Azure DevOps/GitHub Actions), AI-coding assistants.

# Responsibilities :
Serve as the hands-on technical expert for the engineering squad. Write complex dbt models, configure Azure Data Factory pipelines, and optimize Snowflake compute resources.

• Data Solutions Implementation: Translate logical Data Vault 2.0 models (provided by the Data Architect) into physical tables and automated data pipelines. Build the Hubs, Links, and Satellites with precision.
• AI-Driven Development: Lead by example in using AI-assisted coding tools (e.g., GitHub Copilot) to generate boilerplate SQL/dbt code, write documentation, and accelerate unit testing. Train the team to use these tools effectively and securely.
• Code Quality & Governance: Own the CI/CD pipeline and code review process. Enforce strict coding standards, version control (Git), and data validation testing within dbt.
• Agile Delivery: Partner with Product Owners and Scrum Masters to break down complex architectural epics into manageable sprint tasks. Unblock engineers and ensure sprint commitments are met.

# Experience :

Bachelors degree in Computer Science, Engineering, IT, or related field.
Experience: 7+ years of hands-on experience in Data Engineering, with at least 2+ years acting as a Tech Lead or Senior Engineer mentoring others.
Technical Expertise: Expert-level SQL and strong programming skills in Python.
o Deep, hands-on experience building E2E data pipelines using Azure (ADF, Data Lake) and Snowflake.
o Extensive experience with dbt for building modular data transformations and testing.
o Practical knowledge of implementing Data Vault 2.0 physical structures.
o Proven experience utilizing AI-assisted development tools to improve coding efficiency.
o Strong background in Git, CI/CD, and Agile methodologies