Job Description
We're hiring a Data Engineer with deep Snowflake and SQL expertise to join our data team. You'll build and optimize data pipelines, modernize orchestration, and bring order to complex data settings. Our current stack centers on Snowflake and Azure, but you'll work across a range of platforms and tools as projects demand - so we're looking for someone adaptable, who picks up unfamiliar systems quick and isn't tied to a single ecosystem.
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What You'll Don
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Design, build, and optimize data pipelines on Snowflake and other platforms as neededn
Modernize and manage orchestration (Snowflake Tasks, Task Graphs, Streams, and other tools)n
Write and refactor complex transformation logic in SQLn
Interpret and re-engineer existing pipelines, including undocumented onesn
Maintain high-quality technical documentation: source-to-target mappings, dependency diagrams, runbooksn
Ensure data quality, parity, and performance across pipelinesn
Adapt to varied cloud environments, tooling, and client stacksn

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Must-Have Skillsn
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SQL - advanced:



complex joins, window functions, CTEs, query optimizationn
Snowflake - hands-on with warehouses, roles, data modeling, and native orchestration (Tasks, Task Graphs, Streams)n
Data modeling - dimensional modeling, star/snowflake schemas, SCDsn
ETL/ELT - building and maintaining ingestion and transformation pipelinesn
Python - for scripting, data processing, and pipeline automationn
Cloud data platforms - hands-on with at least one major cloud (Azure preferred; AWS/GCP valued)n
Version control - Git-based workflowsn
Adaptability - proven ability to learn recent tools, platforms, and undocumented systems quicklyn
Reverse engineering - track record untangling undocumented or poorly documented ETL pipelinesn
Documentation - source-to-target mappings, dependency diagrams, runbooksn

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Strongly Preferredn
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Azure data stack - ADLS Gen2, Azure Data Factoryn
Inform

📌 Data Engineer Bengaluru
🏢 Networth
📍 Bengaluru