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. - Design and develop data solutions for data generation, collection, and processing. - Create data pipelines to ensure efficient data flow. - Implement ETL processes to migrate and deploy data across systems. - Ensure data quality and integrity throughout the data solutions. - Collaborate with cross-functional teams to gather requirements and understand data needs. - Optimize data solutions for performance and scalability. - Troubleshoot and resolve data-related issues. - Stay up-to-date with the latest trends and technologies in data engineering. 

• Must have skills : Apache Spark, Java, Apache Kafka
• Good to have skills : Google Dataproc
• Minimum 5 year(s) of experience is required
• Educational Qualification : 15 years full time education