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Position: Data Engineer Experience: 48 Years Location: Bangalore Employment Type: Full time Job Summary We are looking for a skilled Data Engineer to build and maintain scalable data pipelines, improve data quality, and develop solutions for record matching and identity resolution. The ideal candidate should have robust experience in Python, SQL, PySpark, Databricks/Snowflake, and modern data engineering practices. You will work with large Business, Consumer, and Healthcare datasets to create accurate, reliable, and high-performing data solutions. Key Responsibilities Design and develop scalable ETL/ELT data pipelines. Process, clean, and transform large datasets. Build and maintain data models and databases. Perform data deduplication and identity resolution. Optimize SQL queries and improve data processing performance. Ensure data quality, accuracy, and consistency across multiple sources. Develop and maintain workflows using Databricks, Spark, or cloud platforms. Collaborate with Data Scientists, Analysts, and Engineering teams. Implement data security, governance, and privacy best practices. Troubleshoot and resolve data pipeline issues. Required Skills Solid experience in Python and Advanced SQL Hands-on experience with PySpark Experience with Databricks or Snowflake Good understanding of ETL/ELT processes Experience with Data Modeling and Data Warehousing Knowledge of Data Quality and Data Validation Experience working with large structured and unstructured datasets Familiarity with Git and version control Experience with Azure or AWS is preferred Nice to Have Experience in Entity Resolution or Record Linkage Knowledge of Master Data Management (MDM) Understanding of Identity Resolution techniques Experience with Airflow, Prefect, or Dagster Knowledge of Healthcare, Consumer, or Business data domains Compensation: 510,705.92 - 1,000,000.00 per year Work Location: In person .
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.