Senior PySpark Developer
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing in Big Data environment using predominantly PySpark/Python. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using PySpark.
Roles & Responsibilities: - Design, develop, and maintain data solutions for data generation, collection, and processing using PySpark. - Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. - Collaborate with cross-functional teams to identify and resolve data-related issues. - Stay updated with the latest advancements in data engineering and integrate innovative approaches for sustained competitive advantage.
Salary Range- $125,000-$140,000 a year
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