Data Engineer Entity Resolution / Data Engineering Hrbr Layout (India)

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,[hidden],000,000.00 per year

Work Location: In person .