Java Full Stack Developer
- Capgemini
- 6 - 11 years
- Pune
- 28 days ago
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Job Description
Key Responsibilities
- Design and develop bigdata processing pipelines using Apache Spark.
- Write efficient, scalable Java code for batch and real-time data processing.
- Optimize Spark jobs for performance, memory management, and cluster efficiency.
- Process, analyze, and transform large volumes of structured and unstructured data.
- Integrate Spark applications with Kafka, HDFS, Hive, NoSQL/SQL databases, etc.
- Deploy and monitor jobs on Spark clusters (YARN, Kubernetes, Standalone).
- Identify, debug, and fix performance bottlenecks in distributed applications.
- Collaborate with data engineers, analysts, and DevOps to ensure smooth delivery.
- Write unit tests, maintain code quality, and follow best engineering practices.
Required Skills & Qualifications
- Strong programming experience in Core Java / Java 8+.
- Hands-on experience with Apache Spark (RDDs, DataFrames, Datasets, Spark SQL).
- Expertise in performance tuning of Spark jobs (broadcast joins, caching, partitions).
- Solid understanding of distributed systems and parallel computation.
- Experience with big data ecosystems:
- HDFS
- Hive
- Kafka
- NoSQL (Cassandra, MongoDB, HBase)
- Knowledge of data modeling and ETL development.
- Proficiency in SQL and handling large datasets.
- Familiarity with Maven/Gradle, Git, CI/CD pipelines.
- Experience with cloud platforms (AWS EMR, Azure Databricks, GCP Dataproc) is a plus.
- Experience with Spark Streaming or Structured Streaming is desirable.
Preferred Qualifications (Good to Have)
- Experience with Scala or Python for Spark.
- Knowledge of Airflow, Oozie or other workflow schedulers.
- Experience with Docker / Kubernetes for Spark deployments.
- Familiarity with Delta Lake, Iceberg, or Hudi.
- Understanding of MLlib or data science workflows.
Soft Skills
- Strong analytical and problemsolving skills.
- Good communication and teamwork abilities.
- Ability to work in an agile and fast-paced environment.
- Ownership mindset with attention to detail.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Full Stack DeveloperEmployement Type: Full timeContact Details:
Company: CapgeminiLocation(s): Pune+ View Contact
Keyskills: Kafka Spring Boot Spark Microservices
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