Were looking for a PySpark Developer who enjoys working with data at scale and has a strong foundation in PySpark, ETL development, and SQL. If you're passionate about building efficient data pipelines, transforming large datasets into meaningful insights, and solving complex data challenges, we'd love to connect with you.
What You'll Do
- Develop and maintain robust data pipelines using PySpark.
- Design and build scalable ETL processes to support business and analytics needs.
- Write optimized SQL queries for data extraction, transformation, validation, and reporting.
- Work with large volumes of structured and unstructured data.
- Ensure data quality, accuracy, and consistency across various data sources.
- Identify and resolve performance bottlenecks in existing data workflows.
- Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
- Participate in code reviews and contribute to data engineering best practices.
What Were Looking For
- 48 years of experience in Data Engineering or related roles.
- Strong hands-on experience with PySpark and large-scale data processing.
- Solid expertise in designing and developing ETL pipelines.
- Advanced SQL skills, including query optimization and performance tuning.
- Good understanding of data warehousing and data modeling concepts.
- Robust problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Nice to Have
- Experience with AWS.
- Exposure to Airflow or other workflow orchestration tools.
- Familiarity with Hadoop ecosystem technologies.
- Experience working with modern data lake or cloud data platforms.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.