Data Engineer

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 : PySpark

Good to have skills : NA

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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data processing workflow. 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 in data engineering. - Continuously evaluate and improve data processing workflows to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Good To Have Skills: Experience with Apache Kafka. - Strong understanding of data warehousing concepts and architecture. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Experience in SQL and NoSQL databases for data management. Additional Information: - The candidate should have minimum 5 years of experience in PySpark. - This position is based at our Bhubaneswar office. - A 15 years full time education is required.