Data Engineer

Key Responsibilities: - Lead and mentor a team of Data Engineers in designing, building, and maintaining efficient, scalable data pipelines. - Ensure the integrity and accuracy of data used for analysis, implementing robust validation processes. - Utilize graph databases like Neo4j for complex data modeling and analysis.

- Collaborate with business and IT teams to understand requirements and translate them into actionable data and engineering specifications. - Drive the adoption of best practices in Data Engineering, including continuous integration and delivery (CI/CD) pipelines using tools like GitHub, Jenkins, and UCD. - Oversee the implementation and use of data storage solutions, including PostgreSQL, MS SQL,HIVE, and Snowflake.

- Manage cloud-based data solutions utilizing AWS services like EC2, S3, IAM, SQS, SNS, Lambda, and Step Functions. - Advocate for Agile methodologies, fostering a culture of rapid iteration, feedback, and continuous improvement. - Ensure team alignment with disaster recovery plans and practices.

- Facilitate communication and collaboration within the team and across departments, leveraging tools like SharePoint, Confluence, and JIRA.