Pyspark Reltio

Job description

We are looking for a skilled PySpark Developer with hands on experience in Reltio MDM to join our data engineering team The ideal candidate will be responsible for designing and implementing scalable data processing solutions using PySpark and integrating with Reltiocloud native MDM platform Key Responsibilities Develop and maintain data pipelines using PySpark in distributed computing environments eg AWS EMR Databricks Integrate and synchronize data between enterprise systems and the Reltio MDM platform Design and implement data transformation cleansing and enrichment processes Collaborate with data architects business analysts and Reltio solution architects to ensure high quality data modeling Work on API based integration between Reltio and upstream downstream applications Optimize PySpark jobs for performance and cost efficiency Ensure data quality integrity and governance throughout the pipeline Troubleshoot and resolve data and performance issues in existing workflows **Required Skills Qualifications** 5 to 7 years of experience in PySpark development and distributed data processing Strong understanding of Apache Spark DataFrames and Spark SQL Experience with Reltio MDM including entity modeling survivorship rules match merge configuration Proficiency in working with REST APIs and JSON data formats Experience with cloud platforms like AWS and data services eg S3 Lambda step function Good knowledge of data warehousing concepts ETL workflows and data modeling Familiarity with CI CD practices and version control tools like Git Strong problem solving and communication skills