WHAT YOU'LL DO
- Design, build, and maintain robust ETL/ELT pipelines feeding a Snowflake-based data platform
- Build and manage integrations using SnapLogic to connect source systems, APIs, and downstream consumers
- Develop and maintain data models and transformations in dbt, including tests, documentation, and CI/CD-based deployment
- Design dimensional and/or medallion-style (Bronze/Silver/Gold) data architectures that balance performance, cost, and usability
- Use AI-assisted tools to accelerate development generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues
- Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy
- Optimise Snowflake warehouse performance and cost (query tuning, clustering, resource monitors)
- Write clean, tested, version-controlled code and contribute to CI/CD pipelines
- Mentor junior engineers, including on how to use AI tools responsibly and effectively (e.g., reviewing AI-generated code,



not blindly trusting output)
- Contribute to internal standards for prompt patterns, reusable AI workflows, or tooling that make the whole team faster

CORE SKILLS
- Snowflake robust hands-on experience with data modelling, performance tuning, security/access, and cost management
- SnapLogic — building and maintaining integration pipelines and connecting heterogeneous source systems
- dbt — writing modular, tested transformations; managing dependencies, macros, and documentation
- Data Modelling — dimensional modelling, medallion/layered architectures, normalisation vs. denormalisation trade-offs
- Strong SQL and at least one scripting language (Python preferred)
- Familiarity with orchestration tools (Airflow, ADF, or similar)
- Working knowledge of git-based CI/CD workflows

AI-AUGMENTED WORKING STYLE (WHAT WE'RE LOOKING FOR)
- Regularly uses AI coding assistants (Copilot, Claude Code, Cursor, C

📌 Senior Data Engineer (Hyderabad)
🏢 TechStar Group
📍 Hyderabad