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EI

Sr. Data Engineer

Expert In Recruitment Solutions
🇺🇸 United States
On-site
Senior
8 months ago
  • GCP
  • BigQuery
  • Dataflow
  • Terraform
  • IaC
  • PostgreSQL
  • Oracle
  • NoSQL
  • MongoDB
  • Python
  • Data Modeling
  • DLP
8 months ago
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We are seeking a Senior Data Engineer to lead the design, development, and maintenance of scalable, high-performance data solutions focused on Data Centralization, Governance, and Integrity. This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services (BigQuery, Dataflow, Dataproc) to build automated, cost-efficient, and complex data pipelines. The ideal candidate will be a technical leader, making key architectural decisions, implementing robust data frameworks, and mentoring junior engineers. This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and analytics.

Key Requirements

  • Experience & Education:
    • 5-6 years of experience as a Data Engineer or in a comparable Business Intelligence role.
    • Bachelor of Science in Information Technology, Computer Science, or a related technical field.
  • Cloud & Pipeline Expertise (Required):
    • Proficiency with GCP (Google Cloud Platform) offering is required
    • Expertise in designing and building large-scale, automated data pipelines using GCP native services (e.g., BigQuery, Dataflow, Dataproc).
    • Experience with Terraform to create and maintain intermediate to advanced infrastructure-as-code scripts is a plus
  • Database & Coding Skills:
    • 4-5 years minimum experience with relational databases ( MS-SQL, Postgres, or Oracle).
    • 3-4 years of experience with NoSQL databases ( Capella or MongoDB).
    • 2-3 years of experience with Python or a similar language.
    • Ability to work with multi-statement complex queries and enhance performance/troubleshoot issues.
  • Architecture & Governance:
    • Proven ability to make key architectural decisions related to data modeling, storage, and real-time processing.
    • Experience assisting with data governance, quality, and lineage practices using tools like Data Catalog, DLP, or Cloud Audit Logs.
    • Experience translating business requirements into technical design documents.
  • Work Schedule & Location:
    • Full-time onsite commitment required (Monday-Friday, 8a-5p), with remote flexibility for Fridays pending manager approval.
  • Desired Experience (Bonus):
    • Experience in the logistics or transportation industry (1-3 years).
    • Proven ability to mentor junior engineers and provide technical guidance.
    • Experience with monitoring and optimizing GCP resources for cost management.
Job Responsibilities
· Design and build large-scale automated and cost-efficient data pipelines that are integrated across multi-platform and disparate data sources using GCP native services (e.g., BigQuery, Dataflow, Dataproc)
· Make key architectural decisions related to data modeling, storage, real-time processing, and orchestration
· Work with multi statement complex queries and enhance performance or able to troubleshoot issues related to performance
· Implement scalable, reusable and efficient data frameworks that ensure data quality, data integrity and performance consistently
· Assist in establishing data governance, quality, and lineage practices using tools like Data Catalog, Data Loss Prevention (DLP), or Cloud Audit Logs.
· Creates and maintains intermediate to advanced terraform scripts
· Mentor junior and mid-level engineers, conduct code reviews, and provide technical guidance on best practices
· Translate business requirements into technical design documents and implementation plans
· Participate in support rotation and proactively identify issues while implementing issue resolutions as appropriate.
ADDITIONAL DESIRED DUTIES/RESPONSIBILITIES:
· Monitor and optimize GCP resources to manage costs effectively
· Stay updated with latest GCP services and features
· Evaluate and recommend new tools and technologies to improve data engineering practices

Sr. Data Engineer · Expert In Recruitment Solutions

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