Lead Applications Developer – GCP, BigQuery, Pub/Sub, Kafka, GKE, Java/Python/c#

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• Job Description:

Job Summary:
We are seeking a

GCP-focused Data Engineer

to build scalable, high‑quality data pipelines supporting our Data Maturity initiative for Logistics/Parcel Services. The ideal candidate has strong experience in GCP data services, data modeling, data quality frameworks, and understands logistics domain data such as shipment tracking, routing, and warehouse operations

• Key Responsibilities: Core Engineering (All Levels)

• Pipeline Development: Design and develop scalable ETL/ELT pipelines using BigQuery, Pub/Sub, and Dataflow/Dataproc.

• Microservices: Build and deploy APIs using Python/Java/C# to integrate enterprise and external logistics systems.

• Orchestration: Orchestrate workloads via Composer (Airflow) or GKE using Docker and Kubernetes.

• Data Quality: Implement validation checks, lineage tracking, and monitoring for pipeline SLAs (freshness, latency).

• Modeling: Model logistics and supply chain data in BigQuery for analytics and operational insights.

• DataOps: Apply CI/CD, automated testing, and versioning best practices.
  Intermediate / Senior additions

• System Design: Take ownership of end-to-end technical design for complex data modules.

• Mentorship: Actively mentor junior engineers and conduct rigorous code reviews to ensure high engineering standards.

• Best Practices: Establish and document DataOps standards and reusable patterns for the team.
  Lead additions

• POD Leadership: Act as the technical head of the data pod, ensuring sprint goals are met and unblocking the team.

• Architecture: Define the high-level architecture and long-term technical roadmap for the logistics data platform.

• Stakeholder Management: Partner with business leaders to translate complex logistics requirements into technical specifications.

• Negotiation: Manage requirements scoping and prioritize backlogs by balancing technical debt with business value.

• Coaching: Drive the professional growth of the entire engineering team through structured coaching and performance feedback
• Required Skills: - Relevant experience –
  Lead – Min 7+ yrs of relevance experience

• Strong hands‑on experience with

GCP BigQuery, Pub/Sub, GCS, Dataflow/Dataproc

.

• Proficiency in

Python/Java/C#

, RESTful APIs, and microservice development.

• Experience with

Kafka

for event-driven ingestion.

• Strong SQL and experience with data modeling
• Expertise in

Docker/Kubernetes (GKE)

and CI/CD tools (Cloud Build, GitHub Actions, or ADO).

• Experience implementing

Data Quality, Metadata management, and Data Governance frameworks

• Preferred Qualifications: - Experience with

Terraform

, Cloud Composer (Airflow)

• Experience in

Azure Databricks, Delta Lake

, ADLS, and

Azure Data Factory

• Experience in Knowledge Graph Engineering using Neo4j and/or Stardog
• Familiarity with Data Governance tools or Cataloging systems (AXON Informatica)
• Logistics domain experience

Education

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

• Employee Type:

 

Permanent
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