Data Engineer with DataBricks

📋 Description

• Design, develop, and maintain scalable data pipelines using Python, Scala, and Spark.
• Build and optimize ETL/ELT processes on the Databricks Lakehouse Platform.
• Develop high-performance data processing solutions for large-scale datasets.
• Work with structured, semi-structured, and unstructured data sources.
• Collaborate with Data Architects, Business Analysts, and Data Scientists to understand and
• Perform performance tuning and optimization of Spark workloads.

🎯 Requirements

• 5+ years of experience in Data Engineering.
• Strong programming skills in Python and Scala.
• Hands-on experience with Databricks and Apache Spark.
• Expertise in Spark SQL, DataFrames, Delta Lake, and Databricks Workflows.
• Strong SQL development and query optimization experience.
• Experience with ETL/ELT frameworks and data integration.

🎁 Benefits

• Opportunity to work on engaging projects with large international and local banks, insurance
• Innovative thinking, delivery excellence, and thought leadership.
• Tolerant and open culture that values diversity, inclusivity, and creativity.
• No forced hierarchy; everyone has the opportunity to grow and take their career into their own
• Recognition for contributions and ample opportunities for growth.