Description

Key Skills: Pyspark, Datawarehouse, Databricks, Cloud, Data Engineer, Data Modelling

Roles and Responsibilities:

• Lead the design and implementation of data engineering solutions to support enterprise data needs.
• Develop and maintain data pipelines using PySpark and Databricks.
• Collaborate with business, IT, and data science teams to ensure alignment on data strategy.
• Manage the integration of various data sources into a cohesive data ecosystem.
• Ensure data governance and compliance with industry standards.
• Support strategic decision-making through the delivery of robust and scalable data solutions.
• Oversee end-to-end data engineering projects, ensuring timely delivery and quality standards.

Skills Required:

• Strong experience in PySpark for large-scale data processing
• Hands-on experience with Databricks platform
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Strong knowledge of data warehouse concepts and architectures
• Experience designing and building scalable data pipelines and ETL workflows
• Understanding of data lake and modern data platform architectures
• Experience with data modeling techniques (dimensional modeling, star/snowflake schemas)
• Familiarity with data governance, data quality, and compliance standards
• Experience integrating multiple data sources and enterprise systems
• Strong problem-solving, analytical, and debugging skills
• Ability to collaborate effectively with data scientists, analysts, and business stakeholders

Education: Relevant degree in Computer Science, Information Technology, or a related field

Key Skills

Education

Any Graduate