| Urgent Need Lead Data Engineer || Cincinnati preferred, Remote for Ideal candidate ,(lead exp, Ex-Target,Amazon,Walmart, Home Depot, Kroger, Albertsons) at Cincinnati, Ohio, USA |
| Email: [email protected] |
| From: Renu Sharma, Vyze Inc. [email protected] Reply to: [email protected] Hi, I have a very urgent role, If interested then please send me your resume. Title: Lead Data Engineer Client: Kroger Duration: 6+ months Location: Cincinnati preferred, Remote for Ideal candidate (comms, lead exp, Ex-Target/Amazon/Walmart/Home Depot/Kroger/Albertsons) USC, GC only, EAD if great cand! MUST HAVE. LEAD DATA ENGINEER We are seeking a Sr. Data Engineer who needs to join our dynamic and fast-paced team. The ideal candidate should excel in Development or pipeline, orchestrating data, resolving connection issue, Solve production issues, Guide Team members. The successful candidate will play a critical role in leading the development and design of Supply Chain Data Engineering solutions, maintaining high standards of code quality, and reducing technical debt and vulnerabilities across the project. The ideal candidate should be able to work in shared service team and work in multiple initiatives parallelly. Required Skills: Technical skill:- Python, PySpark, ADF, SQL, ADLS, Microsoft Azure, Azure Databricks, Azure Synapse. GitHub Actions: Familiarity with setting up and managing CI/CD pipelines using GitHub Actions, ensuring smooth and automated deployment processes. Agile Methodology: Experience working in an Agile/Scrum environment, with a focus on iterative development, continuous feedback, and delivery. Top 3 skills: Azure data factory, data bricks, and CICD Soft Skills Needed: Leadership capabilities, collaboration and stakeholder communication Project person will be supporting: Supply Chain Product Funding Qualifications: Experience: Proven experience in a similar role, with a strong track record as Sr. Data Engineer and has helped/lead development teams in delivering high-quality data orchestration solutions with min 7+ years experience. Key Responsibilities Development: - Working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation, Terraform scripting and DevOps process. Lead Development Initiatives: Develop code with FTR and of quality. Also to take ownership of different development initiatives, ensuring timely delivery while meeting or exceeding quality standards. Code Quality and Maintenance: Oversee the maintenance of code quality and enforce best practices, including code reviews, unit testing, CICD, and adherence to coding standards. Reduce Technical Debt: Identify, prioritize, and implement strategies to reduce technical debt and address vulnerabilities in the codebase. Team Leadership: Provide mentorship and guidance to team members, fostering a collaborative, innovative, and high-performance environment. Collaboration: Work closely with cross-functional teams, including product management, Cloud Security, LOB, Network security, and DevOps, to integrate different features into broader solutions. Problem Solving: Address and troubleshoot complex technical issues, providing solutions that enhance system performance and user experience. Documentation: Ensure comprehensive documentation of systems, processes, and code to facilitate knowledge sharing and maintenance. Stakeholder Communication: Communicate progress, challenges, and solutions to stakeholders, ensuring transparency and alignment with business objectives. Note From the Hiring Manager: Summary should include below Rating on following tech stack (1-to-10, 1 being weakest & 10 being strongest) Python PySpark SQL DataBricks ADF ADLS Azure Thanks & Regards .. Renu Sharma||Technical Recruiter Vyze Inc 24916 Earls Ford Drive Chantilly, VA 20152 Email: [email protected] Keywords: continuous integration continuous deployment green card Virginia Urgent Need Lead Data Engineer || Cincinnati preferred, Remote for Ideal candidate ,(lead exp, Ex-Target,Amazon,Walmart, Home Depot, Kroger, Albertsons) [email protected] |
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| Mon Sep 23 21:28:00 UTC 2024 |