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PySpark SQL Specialist in Cloud Data Engineering
2 weeks ago
Job Title
SQL Developer with PySpark Coding Job Description
About the Position
We are seeking a skilled SQL Developer to work on designing, implementing, and maintaining data pipelines and ensuring data accuracy, integrity, and performance in a cloud or on-premise environment.
Key Accountabilities
- Design and implement data processing pipelines using PySpark to process large volumes of data
- Develop scalable and efficient distributed data processing solutions
- Use PySpark to extract, transform, and load (ETL) data from various sources into data lakes or warehouses
- Work with large datasets stored in Hadoop, AWS, or Azure environments
- Ensure high data quality and consistency across systems
Requirements
- Strong proficiency in SQL, including advanced querying techniques, stored procedures, functions, and database design
- Solid experience in PySpark for big data processing and familiarity with Spark's architecture (RDDs, DataFrames, Datasets)
- Experience working with data lakes, data warehouses, and ETL pipelines
- Hands-on experience with cloud platforms like AWS (Redshift, S3, EMR), Azure (Azure Data Lake, Azure Synapse), or GCP
- Proficiency in Python, including the use of PySpark for parallel data processing