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Job Title: Senior Data Engineer (AWS + Snowflake) Experience: 8-10 Years Location: Mumbai. Pune,chennai, Bengaluru Work Mode: Work from Home Job Description We are looking for an experienced Senior Data Engineer with strong expertise in AWS, Snowflake, Python, and Teradata to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate should have hands-on experience building end-to-end data pipelines, working with cloud landing zones, developing Snowflake scripts, and ensuring high-quality data through unit testing. Key Responsibilities Design and develop scalable data engineering solutions using AWS and Snowflake. Build and maintain ETL/ELT pipelines to ingest data from multiple source systems into Snowflake. Develop and optimize Snowflake SQL scripts, stored procedures, and data transformations. Work with AWS services such as S3, Glue, Lambda, IAM, and CloudWatch for data ingestion and processing. Extract, transform, and migrate data from Teradata and other enterprise data sources. Design and manage cloud landing zones for efficient and secure data ingestion. Develop Python-based automation and data processing scripts. Perform unit testing, data validation, and troubleshoot data quality issues. Optimize SQL queries and improve data pipeline performance. Collaborate with architects, business analysts, and cross-functional teams to deliver robust data solutions. Support production deployments, monitor data pipelines, and resolve production issues. Mandatory Skills 8-10 years of experience in Data Engineering. Strong hands-on experience with AWS Cloud. Expertise in Snowflake and Snowflake Scripting. Strong programming skills in Python. Experience working with Teradata. Excellent SQL and database development skills. Experience designing and developing ETL/ELT pipelines. Hands-on experience with cloud landing zones and data ingestion frameworks. Experience in unit testing, debugging, and performance tuning. Good understanding of data warehousing concepts and cloud-based architectures. .
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.