
We are looking for a skilled Data Engineer with strong expertise in Java and Apache Spark, specializing in data ingestion and large-scale data processing. The ideal candidate will design and build scalable, high-performance data pipelines and contribute to modern analytics platforms in a fast-paced Agile environment.
This role requires hands-on experience in building ingestion frameworks, optimizing Spark workloads, and working with cloud-based data ecosystems.
Key Responsibilities
- Design, develop, and maintain scalable data ingestion pipelines using Java and Apache Spark.
- Build and optimize Spark jobs (Spark Core, Spark SQL, DataFrames, Streaming) for large-scale batch and real-time processing.
- Develop reusable ingestion frameworks for structured and semi-structured data from multiple sources (APIs, databases, files, streaming systems).
- Implement high-performance ETL/ELT solutions with strong focus on data quality, reliability, and scalability.
- Collaborate with data architects, analysts, and cross-functional teams to design robust data workflows.
- Optimize Spark performance (partitioning, caching, tuning, memory management) for production environments.
- Contribute to CI/CD pipelines, code reviews, and best practices in data engineering.
- Troubleshoot data pipeline failures and implement monitoring and alerting mechanisms.
- Document technical designs and mentor junior engineers.
Required Skills & Qualifications
- 3–7 years of strong hands-on experience in Data Engineering and Java development.
- Strong expertise in Apache Spark (Spark Core, Spark SQL, DataFrames, Structured Streaming).
- Solid experience in data ingestion, ETL/ELT, and building data pipelines.
- Working knowledge on Java.
- Experience handling large-scale data processing and distributed systems.
- Familiarity with Maven/Gradle, Git, and CI/CD practices.
- Strong SQL skills and understanding of data modeling concepts.
- Excellent problem-solving and communication skills.
- Must be open to working from Bangalore location.
Secondary / Preferred Skills
- Experience with Databricks (AWS preferred) for Spark-based data engineering.
- Hands-on experience with Snowflake for cloud data warehousing.
- Working knowledge of DBT (Data Build Tool) for analytics engineering and transformations.
- Exposure to Azure cloud services (Databricks).
- Experience with Kafka, Airflow, or orchestration tools.
- Familiarity with Docker/Kubernetes.
- Basic Python scripting for automation and data manipulation.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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