Data Engineer

As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. The role also includes providing solutions to problems for immediate and multiple teams and continuously evaluating and improving data processes.

Must Have

• Proficiency in Databricks Unified Data Analytics Platform

Good to Have

• Experience with Microsoft Azure Analytics Services
• Microsoft Azure Databricks
• PySpark

Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Databricks Unified Data Analytics Platform

Good to have skills : Microsoft Azure Databricks, Microsoft Azure Analytics Services, PySpark

Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Microsoft Azure Analytics Services, Microsoft Azure Databricks, PySpark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - A 15 years full time education is required.