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SENIOR DATA ENGINEER SNOWFLAKE | AZURE | PYTHON Job Details Job Title: Senior Data Engineer Work Mode: Remote / Work From Home Experience: 6+ Years CTC: 2325 LPA Shift: US Night Shift Job Summary We are seeking a highly hands-on Senior Data Engineer to join the data engineering team and take ownership of designing, architecting, building, and optimizing complex Snowflake-based data platforms and pipelines. This is a high-ownership Individual Contributor position. The engineer will be expected to independently design end-to-end data systems, evaluate architectural tradeoffs, establish technical standards, and build scalable solutions across the Snowflake + Azure + Python ecosystem. The ideal candidate should be capable of contributing immediately without requiring significant ramp-up on Snowflake. Key Responsibilities - Architect, design, and build complex raw-file ingestion pipelines into Snowflake. - Build end-to-end data pipelines from ingestion through transformation and downstream processing. - Use Azure Data Factory (ADF) for orchestration and Python as a primary development language. - Write, optimize, and maintain complex Snowflake SQL queries, warehouses, and data models. - Build transformations primarily using dbt. - Perform Snowflake administration, including user/role management, access controls, warehouse sizing, resource monitors, and usage/performance monitoring. - Design, build, and support Azure Functions for event-driven and scheduled data processing. - Architect solutions using Azure Event Hubs for streaming and event ingestion. - Design and maintain Git-based CI/CD pipelines for data engineering code and deployments. - Evaluate competing technical and architectural approaches and make sound design decisions independently. - Translate ambiguous business requirements into scalable technical architectures and implementation plans. - Document system architecture, data flows, technical decisions, and engineering standards. - Partner with engineering, analytics, and business stakeholders to deliver reliable enterprise data solutions. Take end-to-end ownership of complex data systems including development, optimization, troubleshooting, and production support. Mandatory Skills Candidates must have demonstrable hands-on professional/project experience with: - Snowflake querying, data modeling, performance tuning - Strong SQL / Snowflake SQL - Python data pipelines and automation - Microsoft Azure - Azure Data Factory (ADF) - Azure Functions - ETL / ELT pipeline development - Data Warehousing / Data Modeling - Git / CI/CD - End-to-end data engineering architecture and development Strong Individual Contributor / ownership mindset Preferred Skills - Snowflake Administration - dbt - Azure Event Hubs - Azure DevOps / ADO - Data platform architecture at scale - Performance and cost optimization - .NET / C# - SOLID principles and software architecture Streaming / event-driven architecture Critical Screening Requirement Please read before applying: This is a Snowflake-focused Senior Data Engineer position. Candidates must have hands-on Snowflake experience demonstrated in their actual professional/project experience. Databricks experience alone will NOT be considered equivalent to Snowflake experience. Candidates should also have robust Python experience and practical Azure experience, with Azure Functions and Azure Data Factory being particularly important. We are looking for engineers who can independently architect, design, build, administer, and support complex data systems rather than candidates whose experience is primarily in reporting, analytics, DevOps, or Databricks-only data engineering. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.