Description

You will design and develop ETL pipelines, data warehouses, and BI solutions within an Agile Scrum team.

This role is on-site.

Responsibilities

• Build and maintain data pipelines using Spark, Kafka, Hive, NiFi, Sqoop, Impala, Flume, and Oozie.
• Develop and manage APIs to support data ingestion and processing needs.
• Automate existing processes to improve efficiency and reduce manual overhead.
• Collaborate with development teams to align coding standards with DevOps, security, and tool requirements.
• Deliver on multiple priorities within Agile Scrum environments.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Proficiency with Spark, Kafka, Hive, NiFi, Sqoop, Impala, Flume, and Oozie.
• Hands-on experience with AWS services including Glue, Lambda, and EMR.
• Experience with Snowflake or Redshift databases.
• Background in API development and handling.
• Proven experience in ETL, Data Warehouse, BI, and data migration.

Preferred Skills

• Degree in any field of study.

Key Skills

Education

Any Graduate