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Job Description

Senior Data Engineer

Role Overview

We are seeking a highly skilled Senior Data Engineer to join our team for a critical 6-month engagement. The primary focus of this role is to architect and execute the migration from our legacy big data platform to a modern, scalable cloud environment. You will play a pivotal role in ensuring that our data infrastructure remains robust, secure, and capable of supporting high-priority business initiatives during this transition.

Quick Facts

  • Position: Senior Data Engineer
  • Engagement Duration: Minimum 6 months
  • Target Onboarding: Late February 2026

Key Responsibilities

1. Cloud Migration & Infrastructure

  • Design & Architect: Build and optimize automated data pipelines and ETL/ELT processes within the new cloud platform.
  • Migration Strategy: Support the transition from legacy systems, prioritizing data integrity, performance efficiency, and minimal business disruption.
  • Modeling: Develop scalable data models and high-performance datamarts tailored to specific business unit requirements.

2. Data Operations & Governance

  • Workflow Management: Create and maintain complex workflows to ingest, transform, and load data from diverse sources.
  • Pipeline Health: Proactively monitor system performance, troubleshoot incidents, and implement automated preventive measures.
  • Security & Compliance: Strictly adhere to data governance, security protocols, and regulatory compliance standards.

3. Leadership & Collaboration

  • Strategic Alignment: Partner with Product Owners, Data Architects, and Data Scientists to deliver on new strategic business imperatives.
  • Mentorship: Provide technical guidance and support to the engineering team through rigorous code reviews and best-practice sharing.
  • Documentation: Maintain comprehensive technical specifications, schemas, and operational runbooks to ensure seamless knowledge transfer.

Technical Requirements & Qualifications

  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience: 5+ years of experience in Data Engineering, with a proven track record in Big Data-to-Cloud migrations.
  • Cloud Expertise: Advanced proficiency in modern cloud data stacks (e.g., AWS, Azure, or GCP).
  • Technical Skills: * Expert-level SQL and Python/Scala.
  • Hands-on experience with orchestration tools (e.g., Airflow, Prefect) and CI/CD pipelines.
  • Deep understanding of data warehousing concepts and Data Lakehouse architectures.
  • Project Management: Proven ability to manage and deliver multiple projects concurrently, ensuring timely and high-quality outcomes.

Success Criteria

  • Successful delivery of the cloud migration roadmap within the 6-month window.
  • Reduced latency and improved reliability of core data pipelines.
  • High-quality documentation that allows for a sustainable business as usual (BAU) handoff.

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Job ID: 142917593

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