About the Job
Job Title: Data Developer (Python/PySpark/Big Data Platforms)We are looking for a skilled Data Developer to design, build, and maintain efficient and scalable ETL/ELT data pipelines. The ideal candidate will have hands-on experience with Python or PySpark, data integration, and modern big data platforms. You will work closely with data engineers, analysts, and stakeholders to ensure reliable and high-quality data delivery across systems.
Key responsibilities:
1. Design, develop, and maintain efficient and scalable ETL/ELT data pipelines using Python or PySpark.
2. Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver technical data solutions.
3. Perform data cleansing, transformation, and validation to ensure data accuracy, consistency, and integrity.
4. Optimize and troubleshoot performance issues in data processing jobs and workflows.
5. Implement data integration solutions for various sources, including databases, APIs, and file systems.
6. Participate in code reviews, testing, and deployment to maintain high coding standards.
7. Maintain comprehensive documentation for data workflows, systems, and best practices.
Number of Openings
2 openingsSkills
Python, Hadoop, PySpark, ETL processes, BigQuery, Snowflake, Amazon Redshift
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