Advanced Data Engineer

I am looking for another very advanced resource - 10+ YOE. Must be available to go onsite day 1. Please focus on local candidates/Ohio candidates.

Kroger - Advanced Data Engineer

Location: Cincy OH (they're going to convert this person and will be hybrid in office)

Visa: USC or GC Perm - must be able to convert after 6 months

Adv Data Engineer: Databricks, Azure, GCP. Streaming Interfaces: Kafka, Azure Eventhubs. Python, Pyspark, CI/CD.

Soft skills: leadership/mentorship mentality, great communication & documentation

Additional notes: Databricks solution to ingest streaming data to provide data tables. "Data Lake Philosophy". Need true Engineer, hands on building and developing.

Pay Rate: C2C: $75/HR max

Interview process:

1. Q/A Tech screening with recruiter (15 mins) Scheduled for 9am EST on Monday. Sending calendar invite.
   1. 1. Please close out of any communication applications or web browsers prior to the screening. Please be prepared to screen share Task Manager at beginning of interview to make sure no other applications are running.
      2. Please use computer audio. No headsets.
      3. PLEASE PREP YOUR CANDIDATES PRIOR TO THIS CALL NOT TO RECEIVE ANY OUTSIDE HELP. WE CAN TELL THE DIFFERENCE BETWEEN SOMEONE SPEAKING GENUINELY OR READING OFF A SCREEN. THANKS
2. Technical Interview with Solutions Architect (60 min)
3. Final M&G Interview with Kroger (60 min)

Job 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