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Position: Data Engineer (Snowflake & AWS) Location: Hyderabad/ Bangalore Job Summary We are looking for an experienced Data Engineer with strong expertise in Snowflake and AWS to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience in building ETL/ELT frameworks, data warehousing, data modeling, and processing large-scale datasets using modern cloud technologies. Key Responsibilities - Design, develop, and maintain scalable data pipelines and ETL/ELT processes. - Build and optimize data solutions using Snowflake and AWS services. - Develop and maintain data ingestion, transformation, and orchestration workflows. - Work with structured and unstructured data from multiple sources. - Implement data quality, validation, monitoring, and governance processes. - Optimize Snowflake data warehouse performance, storage, and query execution. - Collaborate with business stakeholders, data analysts, and engineering teams to understand data requirements and deliver solutions. - Create and maintain data models, schemas, and documentation. - Troubleshoot production issues and ensure high availability of data platforms. - Participate in code reviews, testing, deployment, and support activities. Required Skills - 5+ years of experience in Data Engineering. - Strong hands-on experience with Snowflake (mandatory). - Strong hands-on experience with AWS (mandatory), including services such as S3, Glue, Lambda, Redshift, Athena, EMR, ECS, or related services. - Expertise in SQL and performance tuning. - Strong programming skills in Python and PySpark. - Experience with ETL/ELT tools and frameworks. - Hands-on experience with data orchestration tools such as Airflow, ADF, or similar. - Strong understanding of Data Warehousing concepts and Data Modeling (Star Schema, Snowflake Schema). - Experience working with large-scale data processing and distributed computing frameworks. - Knowledge of CI/CD, Git, and DevOps practices. Qualifications - Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. - Strong communication and stakeholder management skills. - Ability to work independently and collaboratively in a quick-paced environment .
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.