Description

Build and maintain data processing and ETL pipelines using big data technologies.

This role is on-site.

Responsibilities

• Build and manage data pipelines and infrastructure.
• Develop solutions leveraging Databricks and Python for data processing.
• Apply deep understanding of data warehousing, reporting, and analytical concepts.
• Work with the Big Data tech stack, including Hadoop, Spark, and Hive.

Required Skills

• 12+ years of professional experience in Data processing, ETL, and Big data technologies.
• 4+ years of hands-on experience with Databricks.
• Expertise in Python programming.
• Proficiency with Big Data tools: Hadoop, Spark, Scala, and Hive.
• Experience with Cloud/Azure architectural components.
• Familiarity with NoSQL data stores.
• Experience with Informatica and Cloudera.

Preferred Skills

• Bachelor’s degree in Mathematics, Physical Sciences, Engineering, or Computer Science.

Key Skills

Education

Any Graduate