Senior Engineer, Data Engineering (Hyderabad)

Senior Engineer, Data Engineering (Hyderabad)

02 Sep
|
Prudent Technologies and Consulting
|
Hyderabad

02 Sep

Prudent Technologies and Consulting

Hyderabad

Shift Timings: 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)

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

Snowflake — strong 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; Data Modelling — dimensional modelling, medallion/layered architectures, normalisation vs. Strong SQL and at least one scripting language (Python preferred)

AI-AUGMENTED WORKING STYLE (WHAT WE'RE LOOKING FOR)

Regularly uses AI coding assistants (Copilot, Claude Code, Cursor, ChatGPT, etc.) Comfortable prompting AI tools for tasks like generating dbt models, writing test cases, summarising data quality issues, or drafting documentation

Applies good judgement about when AI output needs review vs. can be trusted — treats AI as a quick first draft, not a final answer

Curio

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

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