Salary Range: $67.00 - $68.00 per hour
Posted on
Lead PySpark Developer needs 7+ years of experience in Amazon Web Service(AWS) Cloud Computing
Lead PySpark Developer requires:
· 10+ years of experience in big data and distributed computing.
· Very Strong hands-on experience with PySpark, Apache Spark, and Python.
· Strong Hands on experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc.).
· Proficiency in data modeling and ETL workflows.
· Proficiency with workflow schedulers like Airflow.
· Hands on experience with AWS cloud-based data platforms.
· Experience in DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.
· DBT, AWS Astronomer
Lead PySpark Developer duties:
Collaborate with Client, data engineers, data scientists, and business teams to understand requirements and provide scalable solutions.
· Optimize Spark performance through partitioning, caching, and tuning.
· Implement best practices in data engineering (CI/CD, version control, unit testing).
· Work with cloud platforms like AWS.
· Ensure data security, governance, and compliance.
· Mentor junior developers and review code for best practices and efficiency.
· Lead the design, development, and deployment of PySpark-based big data solutions.
· Architect and optimize ETL pipelines for structured and unstructured data.
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