Description

You will design and manage data architecture, database systems, and cloud-based data pipelines.

This role is on-site.

Responsibilities

• Build and maintain data pipelines using PySpark and AWS Glue.
• Design and manage data warehousing solutions and relational databases.
• Implement data processing workflows using frameworks like Apache Kafka or Hadoop.
• Collaborate with cross-functional teams to solve complex analytical problems.

Required Skills

• 5+ years of experience in data engineering or a similar role.
• Proficiency in Python, Java, or Scala.
• Strong experience with PySpark and AWS Glue.
• Mandatory experience with AWS cloud technologies.
• Hands-on experience with Redshift, BigQuery, or Snowflake.
• Deep knowledge of SQL and relational databases such as PostgreSQL or MySQL.
• Experience with data processing frameworks like Apache Kafka or Hadoop.
• Proficiency with Git for version control.
• Bachelor's or master’s degree in Computer Science, Information Systems, Engineering, or equivalent.

Preferred Skills

• Experience with GCP or Azure.
• Familiarity with Docker, Kubernetes, and Airflow.

Key Skills

Education

Any Graduate