Lead PySpark Developer

Overview

On Site
$53 - $68
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

PySpark
NoSQL
AWS

Job Details

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.
Strong problem-solving skills and ability to lead a team
DBT, AWS Astronomer

Lead the design, development, and deployment of PySpark-based big data solutions.
Architect and optimize ETL pipelines for structured and unstructured data.
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.

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