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About the role
We are seeking a skilled Java Developer with hands-on experience in Java and Spark to build scalable data processing solutions. You'll contribute to high-performance data pipelines and analytics platforms in a dynamic Agile environment.
Key Responsibilities
- Design and develop Java applications integrated with Apache Spark for ETL processes, data transformations, and analytics.
- Build and optimize Spark jobs (Spark SQL, DataFrames, Streaming) for large-scale data processing.
- Collaborate with data engineers and analysts to implement robust data workflows.
- Write clean, maintainable Java code following best practices (Spring Boot, Microservices preferred).
- Perform code reviews, unit testing, and contribute to CI/CD pipelines.
- Troubleshoot and optimize Spark performance for production workloads.
- Document technical solutions and mentor junior developers.
Required Skills & Qualifications
- 4-7 years of hands-on Java development experience.
- Strong expertise in Apache Spark (Spark Core, Spark SQL, PySpark basics).
- Proficiency in Java 8/11+ with multithreading and collections frameworks.
- Experience with data processing (ETL, data pipelines, big data).
- Familiarity with build tools (Maven/Gradle) and version control (Git).
- Strong problem-solving skills and Bangalore location availability.
- Excellent communication skills for cross-team collaboration.
Good to Have
- Experience with Snowflake for cloud data warehousing.
- Knowledge of DBT (Data Build Tool) for analytics engineering.
- Python scripting for data manipulation and automation.
- Exposure to AWS/GCP/Azure cloud platforms.
- Familiarity with Kafka, Airflow, or containerization (Docker/Kubernetes).
Skills required
microserviceskubernetessnowflakeairflowpythonspringdockersparkkafkaazureci/cdagilejavasqldbtawsgcpgit
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