Job Description
Shift Timings: US Working Hours
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nJob Description:
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nWHAT YOU'LL DO
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- Design, build, and maintain robust ETL/ELT pipelines feeding a Snowflake-based data platformn
- Build and manage integrations using SnapLogic to connect source systems, APIs, and downstream consumersn
- Develop and maintain data models and transformations in dbt, including tests, documentation, and CI/CD-based deploymentn
- Design dimensional and/or medallion-style (Bronze/Silver/Gold) data architectures that balance performance, cost, and usabilityn
- Use AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issuesn
- Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthyn
- Optimise Snowflake warehouse performance and cost (query tuning, clustering, resource monitors)n
- Write clean, tested, version-controlled code and contribute to CI/CD pipelinesn




- Mentor junior engineers, including on how to use AI tools responsibly and effectively (e.g., reviewing AI-generated code, not blindly trusting output)n
- Contribute to internal standards for prompt patterns, reusable AI workflows, or tooling that make the whole team fastern

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nCORE SKILLS
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- Snowflake — strong hands-on experience with data modelling, performance tuning, security/access, and cost managementn
- SnapLogic — building and maintaining integration pipelines and connecting heterogeneous source systemsn
- dbt — writing modular, tested transformations; managing dependencies, macros, and documentationn
- Data Modelling — dimensional modelling, medallion/layered architectures, normalisation vs. denormalisation trade-offsn
- Solid SQL and at least one scripting language (Python preferred)n
- Familiarity with orchestration tools (Airflow, ADF, or similar)n
- Working knowledge of git-ba

📌 Senior Data Engineer (Hyderabad)
🏢 Prudent Technologies and Consulting
📍 Hyderabad