Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Skills
PySpark
Apache Spark
Python
SQL
NoSQL
DevOps
CI/CD pipelines
AWS cloud
Job Details
ROLE_DESCRIPTION -
- 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
- 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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