Pyspark Reltio

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