
High-Performance Data Engineer
3 days ago
We are seeking a seasoned Data Engineer with expertise in PySpark and distributed data processing to lead our team in designing and implementing scalable data solutions.
Key Responsibilities:- Design, implement and maintain high-performance PySpark data pipelines on cloud-based platforms like AWS EMR or Databricks.
- Integrate and synchronize data between enterprise applications and master data management systems using REST APIs and data integration techniques.
- Create and manage data transformation, cleansing and enrichment logic to ensure data quality and integrity throughout the pipeline lifecycle.
- Collaborate with architects and analysts to develop effective data models and ETL workflows for data warehousing and business intelligence.
- Build and manage API-based integrations between data sources and targets for seamless data exchange.
- Optimize PySpark jobs for performance, scalability and cost-efficiency while ensuring compliance with data governance policies.
- Troubleshoot and resolve complex data-related and performance issues to minimize downtime and maximize system availability.
- At least 7 years of hands-on experience in PySpark, Apache Spark, Spark SQL and DataFrames.
- Deep expertise in entity modeling, survivorship rules, match and merge configuration for master data management systems.
- Strong proficiency in data integration techniques, REST APIs, JSON and data formats.
- Experience with cloud-based services like AWS S3, Lambda and Step Functions.
- Solid understanding of ETL workflows, data warehousing, data modeling and data governance principles.
- Familiarity with CI/CD pipelines, version control systems like Git and agile development methodologies.
- Excellent problem-solving, communication and collaboration skills to work effectively in a team environment.
- Prior experience with Reltio MDM or similar master data management systems.
- Knowledge of big data processing frameworks like Hadoop and NoSQL databases like Cassandra.
- Familiarity with containerization technologies like Docker and Kubernetes.
This is an exciting opportunity for a skilled data engineer to take their career to the next level and contribute to the success of our organization. If you have the passion and expertise to succeed in this role, we encourage you to apply.
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