Good Morning, Please see the role below and do let me know who might be interested. Thanks,
Role: Sr Data Engineer
Start Date: ASAP Location: 2-3x/week onsite in Cincinnati, OH - must be local and willing to go into the office
Must Haves: - Any experience with Databricks (including Delta/Delta live pipeline implementation, Databricks asset bundles, etc)
- Any experience with Python, Spark and SQL
- Any experience with Azure Data Platform stack: Azure Data Lake, Data Factory ,Storage containers etc
Additionals to Have: - Any experience with Databricks Unity Catalog
- Any experience with Github (including CI/CD implementation, Github actions etc)
- Any experience with Terraform
- Any experience with streaming technologies like Kafka, IBM MQ and EventHub
- Any experience with data science solutions or platforms
- Any experience with a variety of SQL, NoSQL and Big Data Platforms
- Any experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform)
Data Engineer JD: Description / Deliverables:
- Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions
- Interpreting data, analyzing results using statistical techniques
- Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
- Acquiring data from primary or secondary data sources and maintaining databases
- Experience in administration and configuration of API Gateways (e.g. Apigee/Kong) Apply cloud computing skill to deploy upgrades and fixes
- Design, develop, and implement integrations based on use feedback.
- Troubleshoot production issues and coordinate with the development team to streamline code deployment.
- Implement automation tools and frameworks (Ci/CD pipelines).
- Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of products.
- Collaborate with team members to improve the company's engineering tools, systems and procedures, and data security.
- Deliver quality customer service and resolve end-user issues in a timely manner
- Draft architectural diagrams, interface specifications and other design documents
- Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy
- Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio
- Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
- Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
- Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes
- Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
- Mentor team members in data principles, patterns, processes and practices
- Promote the reuse of data assets, including the management of the data catalog for reference
- Draft and review architectural diagrams, interface specifications and other design documents
Thanks,