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

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:

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