Principal Data Integration Specialist
2 weeks ago
We are seeking a highly skilled and experienced Senior ETL Developer with strong expertise in PySpark, Python, along with a solid background in ETL (Extract, Transform, Load) processes across relational databases and cloud platforms.
Key Responsibilities- Design, develop, and maintain ETL pipelines using PySpark and Python for large-scale data processing.
- Implement validation logic as part of ETL workflows.
- Work with relational databases (e.g., Oracle, PostgreSQL, SQL Server) to extract, transform, and load data efficiently.
- Develop and optimize data pipelines on cloud platforms (AWS) using Spark-based frameworks (Data Frames).
- Collaborate with data architects, analysts, and other stakeholders to understand requirements and deliver reliable data solutions.
- Ensure data integrity, performance, and quality in all ETL processes.
- Participate in code reviews, testing, and deployment of data solutions.
- 5+ years of experience in ETL development with a strong foundation in data integration, transformation, and loading.
- Proven experience writing efficient code in PySpark and Python, especially for large-scale data sets.
- Hands-on experience with creating ETL workflows.
- Strong experience working with relational databases and writing complex SQL queries.
- Solid understanding of data modeling, performance tuning, and best practices in ETL design.
- Experience with cloud-based data processing using Spark on AWS.
- Strong communication and collaboration skills.
- Experience with data orchestration tools like Apache Airflow or similar.
- Familiarity with data governance and security best practices.
- Experience in Agile/Scrum environments.
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