Senior Data Engineer

Hi,

Hope you are doing well,

I am Kartik from Kanak It Services, please revert me on Kartik@kanakits.com if you are interested with the below role.

Role : Senior Data Engineer

Location : Onsite Cincinnati, OH locals with local DL

Duration : 6-12 Months

MOI : Onsite Interview

Note : : :

Top 3 skills : azure data bricks, python, and spark

Soft Skills Needed : problem solving, attention to detail, and ability to work independently and part of agile team.

Team details i.e.. size, dynamics, locations : 10 team members, working independently but will do peer programing throughout the day.

Key Responsibilities

• 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.