Job Description- | |
Detailed JD | 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. |
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