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

• 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.

• 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.

• 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

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

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