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 — solid 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