Senior Data Engineer - Time Data Processing

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

As a Senior Software Engineer, you'll design and deliver real‑time data pipelines and event‑driven microservices. You'll implement resilient streaming patterns, contribute to data governance and CI/CD automation, and collaborate closely with platform and product teams to scale our data services.

• Build reliable streaming applications using Confluent Kafka, Apache Flink, Hazelcast, Kafka Streams, Kafka Connect, and Schema Registry.
• Develop ETL/ELT pipelines for real‑time ingestion, transformation, and distribution; implement windowing, joins, and stateful processing.
• Implement distributed caching and in‑memory data grid integrations to reduce latency and improve throughput.
• Contribute to event gateway / event grid routing, schemas, topic design, ACLs, and dead‑letter strategies.
• Write clean, testable code for microservices (Java/Python), focusing on reliability, idempotency, and observability.
• Automate CI/CD pipelines, containerization (Docker), and deployments to Kubernetes.
• Participate in data governance: tagging, metadata updates, lineage capture, schema evolution, and data quality checks.
• Monitor production systems, perform performance tuning, troubleshoot back‑pressure/lag, and improve SLO attainment.
• Collaborate on design docs, code reviews, and cross‑team integrations.

• 7+ years in software engineering, with 3+ years focused on real‑time streaming or event‑driven systems.
• Strong hands‑on experience with Kafka (topics, partitions, consumer groups), Schema Registry, Kafka Connect, and either Flink or Kafka Streams or Hazelcast.
• Solid understanding of ETL/ELT concepts, event time vs. processing time, checkpointing, state management, and exactly once/at least once semantics.
• Proficiency with microservices (Java /Python), APIs (REST/gRPC), Avro/JSON/protobuf, and contract testing.
• Experience with Docker, Kubernetes, and CI/CD tools (Git Hub Actions/Azure Dev Ops/Jenkins or similar).
• Familiarity with distributed caching (Redis, Hazelcast) and in‑memory data grids.
• Cloud experience in at least one cloud platform (Azure/AWS/GCP).
• Knowledge of observability (metrics, logs, traces) and resilience (retries, timeouts, DLQs, circuit breakers).
• Exposure to data governance, metadata catalogs, and lineage tooling; schema evolution and compatibility (backward/forward/full).
• Core competencies:
  
  Problem Solving, Ownership, Code Quality, Operational Mindset, Collaboration, Continuous Improvement.

• CDC pipelines, Flink SQL, custom Kafka Connect connectors.
• Experience with feature flags, canary releases, and progressive delivery.
• Performance tuning: batch sizes, compression, serialization choices (Avro vs. Protobuf), and partitioning strategies.

Capgemini supports all aspects of your well‑being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well‑being programs
• Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well‑being benefits like subsidized back‑up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future.

The disclosed range takes into account the…