Description

You will drive impactful data solutions as a Sr. PySpark Developer.

Responsibilities

• Design and implement complex data architectures using PySpark.
• Model data and design schemas for large-scale data processing.
• Develop and maintain data pipelines leveraging Hadoop and Kafka.
• Build and manage solutions involving Graph Databases.

Required Skills

• 10+ years of professional experience in data engineering.
• Expert proficiency in PySpark.
• Experience with Neo4j or Neptune DB.
• Strong knowledge of SQL and relational databases (Redshift, Snowflake, BigQuery).
• Familiarity with data lake architectures.
• Experience with distributed systems like Hadoop and Hive.
• Proficiency working with cloud environments (AWS, Azure, or GCP).
• Understanding of CI/CD pipelines.

Preferred Skills

Key Skills

Education

Any Graduate