Description

You will design and maintain data engineering solutions on Databricks, leveraging Apache Spark for large-scale data processing.

Responsibilities

• Build and optimize ETL pipelines using Databricks and Apache Spark.
• Develop data warehousing solutions and manage data workflows.
• Write efficient code in Python, Scala, SQL, or Java to support data infrastructure.
• Integrate with big data technologies such as Hadoop, Hive, and Kafka.
• Maintain data quality and performance across distributed systems.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Proficiency in Databricks and Apache Spark.
• Strong command of Python, Scala, SQL, and/or Java.
• Hands-on experience with ETL processes and data warehousing concepts.
• Familiarity with big data ecosystems including Hadoop, Hive, and Kafka.
• Any Graduate degree in a relevant field.

Key Skills

Education

Any Graduate