🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Job Summary We are looking for a skilled Data Engineer with strong hands-on experience in building scalable and efficient data pipelines, with deep expertise in DBT, Snowflake, and Python, and a solid understanding of modern data engineering practices. You will be responsible for designing, developing, and optimizing data pipelines and transformation workflows to support analytics, reporting, and business intelligence needs. Candidate must have relevant experience of 6 9 Years. Key Responsibilities Design, develop, and maintain scalable data pipelines using DBT, Snowflake, and Python. Build and manage data transformation workflows using DBT (models, macros, testing, and documentation). Develop efficient data ingestion and processing pipelines using Python. Optimize Snowflake data models, queries, and performance for large-scale datasets. Ensure data quality, reliability, and consistency through testing and validation frameworks. Collaborate with data analysts, business teams, and stakeholders to understand data requirements. Implement best practices for data modeling, version control, and pipeline orchestration. Monitor and troubleshoot data pipeline issues and performance bottlenecks. Maintain clear and structured documentation for data workflows and pipelines. Work closely with BI and analytics teams to ensure data models and pipelines effectively support dashboarding, reporting, and self-service analytics use cases. Contribute to continuous improvement of data engineering standards, patterns, and reusable components within the DA&A; function. Other Capabilities Strong problem-solving and analytical skills. Ability to work collaboratively with cross-functional teams in a fast-paced environment. Good communication skills to translate business requirements into technical solutions. Proactive mindset with a focus on reliability, performance, and maintainability of data solutions. Ability to manage multiple priorities and deliver high-quality outcomes within agreed timelines. Qualifications and Skills 6 9 years of hands-on experience in Data Engineering, with a focus on building scalable data pipelines. Strong expertise in DBT (Data Build Tool). Solid experience with Snowflake, including data warehousing, performance tuning, and optimization. Proficiency in Python for data processing and pipeline development. Good understanding of SQL and data modeling concepts (star schema, dimensional modeling). Experience with data pipeline orchestration tools (e.g., Airflow or similar). Familiarity with data quality and testing frameworks. Experience working in cloud environments (AWS, Azure, or GCP). Familiarity with CI/CD practices for data pipelines. Exposure to real-time or streaming data pipelines is a plus. Experience in enterprise-scale data platforms. Understanding of BI concepts and experience supporting analytics, reporting, and business intelligence solutions. Ability to document data workflows, transformation logic, and technical designs in a explicit and structured manner. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
Here's where they are and how to stand out in your next interview.
24.795Jobs
9.577IN
74%EN
That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.