Senior Data Engineer - Time Data Processing

Overview

Senior Data Engineer - Real Time Data Processing n to apply for the Senior Data Engineer - Real Time Data Processing role at Capgemini.

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Capgemini empowers you to shape your career, be supported by a collaborative global community, and reimagine what’s possible. Help the world’s leading organizations unlock the value of technology and build a more sustainable, 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 well-being throughout life and career. For eligible employees, we offer Flexible work, healthcare including dental, vision, mental health, and well-being programs, and 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 pay transparency obligations. The disclosed range represents the lowest to highest salary we believe we would pay for this role at the time of posting, and may be modified in the future. Base salary range: $110,000 to $115,000/yearly in the tagged location.

This role may be eligible for other compensation such as variable incentives, bonuses, or…