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Position Overview We are looking for a highly skilled Data Engineer to support the design, development, and optimization of enterprise data pipelines and analytics platforms. The role will focus on building reliable, scalable data solutions that enable timely and actionable insights for business stakeholders. You will work closely with Data & Analytics teams to transform, process, and deliver high -quality datasets using modern data stack technologies such as Snowflake, DBT, and AWS. The primary objective is to ensure efficient data flow, robust data quality, and support for analytics and reporting use cases. Key Responsibilities - Develop and maintain data pipelines for ingestion, transformation, and loading of data from multiple sources using SQL, Python, and DBT - Build and optimize data models and transformation layers in DBT - Work extensively with Snowflake (SnowSQL, Snowpipe, query optimization, cost management) - Support AWS -based data architecture (S3, Glue, Lambda, Redshift, CloudWatch) - Implement and maintain workflow orchestration using Airflow or similar tools - Enhance existing ETL/ELT workflows and improve performance and scalability - Ensure data quality, validation, and reliability through monitoring and testing frameworks - Collaborate with BI and Analytics teams to deliver analytics -ready datasets - Troubleshoot data issues and support ad -hoc data requests - Follow best practices for version control (Git), documentation, and deployment Requirements - 710 years of relevant experience in Data Engineering / Analytics Engineering - Robust hands -on expertise in: - Snowflake (must -have) - DBT (must -have) - SQL (advanced) and Python - Experience working with AWS services (S3, Glue, Lambda, Redshift, etc.) - Experience with workflow orchestration tools (Airflow preferred) - Strong understanding of data warehousing, ETL/ELT, and data modeling concepts - Working knowledge of Power BI - Experience with Git/version control systems Preferred Requirements - Exposure to data observability / data quality tools - Experience with streaming technologies (Kafka, Kinesis) - Familiarity with data governance and cataloging tools - Experience working in cross -functional or distributed teams Benefits - Free Health Insurance Comprehensive coverage for you and your dependents. - Work -Life Balance Flexible work arrangements and realistic workloads to help you maintain a healthy balance. - Healthy Work Culture A collaborative, respectful, and growth -oriented environment. - Provident Fund (PF) and Gratuity benefits as per statutory norms .
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.