Job Description
Pay Range $65hr - 70hr
- 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.
- CI/CD tools (GitHub,Devops).