Description

You will design, implement, and optimize scalable data solutions on the Databricks platform.

This role is on-site.

Responsibilities

• Develop and maintain data pipelines and workflows using Databricks.
• Integrate data with third-party applications including Salesforce, SAP, and external file feeds.
• Implement ETL processes, ensuring data quality, integrity, and medallion architecture.
• Design scalable data architectures and troubleshoot performance issues for system stability.

Required Skills

• 5+ years of experience in data development.
• Proven experience with Databricks and Apache Spark.
• Strong implementation of medallion architecture.
• Expertise in Delta Sharing with Snowflake, Fabric OneLake, and AWS.
• Proficiency in Python, PySpark, Scala, and SQL.
• Strong understanding of data warehousing concepts and ETL processes.
• Experience working with Azure and AWS cloud platforms.
• Bachelor's degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Experience with machine learning and data science.
• Databricks or cloud platform certifications.

Key Skills

Education

Any Graduate