Senior Confluent Developer

Role Overview

We are looking for a Senior and Lead Java Backend Engineer with strong experience in Apache Kafka and Kafka Streams, along with Java, Spring Boot, and Microservices. The candidate will build and support scalable, event-driven backend applications and work with containerization and cloud technologies.

Required Skills

Java

Spring Boot

Microservices architecture

Apache Kafka — topics, partitions, producers, consumers, and message-processing guarantees

Kafka Streams — stream processing, joins, windowing, and stateful aggregations

Docker

Kubernetes

AWS

Key Responsibilities

Develop and maintain backend services using Java, Spring Boot, and Microservices.

Build and support event-driven applications using Apache Kafka and Kafka Streams.

Design and maintain Kafka topics, partitions, producers, and consumers based on application needs.

Implement stream-processing logic, including joins, windowing, and aggregations.

Troubleshoot performance, reliability, and message-processing issues in distributed applications.

Package and deploy applications using Docker and Kubernetes, and support deployments on AWS.

Collaborate with engineering teams to deliver reliable, scalable backend solutions.

This job is Remote India only

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·    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. We help clients build world class products.

·    Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·    Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·    Globally present with offices 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.

·    Wissen Technology has been certified as a Great Place to Work®.

·    Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·    Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·    We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

About Role :

Key Responsibilities

• Build and maintain data transformation pipelines using java Spark
• Develop and optimize large-scale/CPU intensive data processing using Apache Spark
• Orchestrate workflows using Airflow
• Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage
• Support schema evolution, backfills, and incremental processing
• Ensure pipelines meet SLAs for freshness, reliability, and performance
• Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

• Strong hands-on experience with 
• HBase
• Apache Spark
• Experience with HBase or similar lakehouse query engines
• Airflow 
• Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)
• Proficiency in Java
• Experience with Git-based development and CI/CD

Nice-to-Have Skills

• OpenTable format/Iceberg ,Apache Arrow
• CDC-based analytics pipelines
• Cloud platforms (AWS)
• Kubernetes-based data platforms

Job Description: Java Developer

Experience: 5+ Years

Location: Bangalore

Work Mode: Hybrid

Mandatory Skills:

• Strong experience in Java, Spring Boot & Microservices
• Hands-on experience with Apache Kafka
• Experience working with Git, REST APIs & SQL
• Good understanding of Generative AI / GitHub Copilot
• Strong knowledge of software development, debugging and performance optimization
• Good communication and problem-solving skills

Role & Responsibilities:

• Design, develop and maintain scalable Java-based applications.
• Develop and integrate Kafka-based event-driven services.
• Utilize Copilot/AI-assisted development tools to improve development productivity.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in code reviews, testing and production support.

Java Developer Hiring Post

🚨 Hiring: Java Developer | Kafka | Copilot

🔹 Experience: 5+ Years

🔹 Skills: Java, Kafka, GitHub Copilot

🔹 Location: Hyderabad / Bangalore

🔹 Work Mode: Hybrid

🔹 Interview: F2F / Virtual

🔹 Notice Period: Immediate Joiners Preferred

📩 Interested candidates can share their updated resume.

#Hiring #JavaDeveloper #JavaJobs #Kafka #Copilot #HyderabadJobs #BangaloreJobs #ImmediateJoiners #ITJobs

SHARE YOUR RESUME : { pavithra.e @vysystems.com },

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Job Description – Java Backend Developer

Experience: 5+ Years

Location: Bangalore

Notice Period: Immediate to 15 Days

Job Summary

We are looking for an experienced Java Backend Developer with strong hands-on expertise in Java and Apache Kafka. The ideal candidate should have experience in developing scalable backend applications, building event-driven systems, and working with distributed architectures.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java.
• Develop and implement event-driven applications using Apache Kafka.
• Build and maintain RESTful APIs and backend services.
• Work with distributed systems and microservices architecture.
• Develop efficient, reusable, and maintainable code.
• Troubleshoot, debug, and resolve application issues.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Participate in code reviews and technical discussions.

Mandatory Skills

• 5+ years of experience in Java Backend Development.
• Strong hands-on experience in Java.
• Hands-on experience with Apache Kafka.
• Good understanding of REST API development.
• Knowledge of microservices and distributed systems.
• Strong problem-solving and debugging skills.

Description

We are looking for Senior Data Engineers to join our AdTech team and build scalable, high-performance data platforms that power advertising insights and analytics. The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Spark and Scala.

You will work on designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
• Build and optimize distributed data applications using Spark and Scala.
• Develop reliable, high-performance data pipelines for batch and streaming workloads.
• Work with large datasets to ensure data quality, consistency, and performance.
• Collaborate with engineering, product, and analytics teams to deliver robust data solutions.
• Optimize data workflows for scalability, reliability, and cost efficiency.
• Deploy and manage data workloads in cloud and containerized environments.
• Troubleshoot production issues and continuously improve platform performance.

Requirements

Candidates who demonstrate:

• 5+ years of experience in Data Engineering or Big Data Engineering.
• Strong hands-on experience with Apache Spark and Scala.
• Experience building and maintaining ETL pipelines.
• Familiarity with Google Cloud Storage (GCS).
• Experience with Kubernetes (K8s).
• Strong SQL skills and understanding of distributed data processing.
• Excellent debugging, problem-solving, and performance optimization skills.
• Strong communication and collaboration skills.

Good to Have

• Experience with AWS and cloud-native data services.
• Familiarity with streaming technologies such as Kafka.
• Experience working on large-scale data platforms or AdTech systems.
• Exposure to orchestration tools such as Airflow.

Benefits

• Best-in-class salary: We hire strong talent and compensate accordingly.
• Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
• Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
• High-impact work: Build AI-first systems and products used at scale by global clients.

About Us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

Description

We are looking for Senior Data Engineers to join our Data Platform team and build scalable, high-performance data platforms that power data processing, analytics, and downstream applications.

The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Apache Spark and Python Scala.

You will be responsible for designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL and data processing pipelines for large-scale datasets.
• Build and optimize distributed data applications using Apache Spark and Python Scala.
• Develop reliable, high-performance data pipelines for batch and streaming workloads.
• Design and manage data workflows using Apache Airflow.
• Build and operate data workloads on AWS, with strong usage of Amazon S3 for large-scale data storage.
• Work with large datasets to ensure data quality, consistency, reliability, and performance.
• Collaborate with engineering, product, analytics, and other platform teams to deliver robust data solutions.
• Optimize data workflows for scalability, reliability, performance, and cost efficiency.
• Troubleshoot production issues, identify bottlenecks, and continuously improve platform performance.

Requirements

Candidates who demonstrate:

• 5+ years of experience in Data Engineering, Big Data Engineering, or a similar role.
• Strong hands-on experience with Apache Spark and Scala.
• Experience designing, building, and maintaining large-scale ETL pipelines.
• Strong hands-on experience with AWS, particularly Amazon S3.
• Hands-on experience with Apache Airflow for workflow orchestration and scheduling.
• Strong SQL skills and a solid understanding of distributed data processing concepts.
• Experience working with batch and/or streaming data pipelines.
• Excellent debugging, problem-solving, and performance optimization skills.
• Strong communication and collaboration skills.

Good to Have

• Experience with Databricks and the broader Databricks data platform.
• Familiarity with streaming technologies such as Apache Kafka.
• Experience working on large-scale data platforms handling high-volume data workloads.
• Exposure to additional AWS data services and cloud-native data architectures.

4 - 10 years of experience in designing and buildingarchitecting highly resilient data platforms 

∙Strong knowledge of data engineering, architecture and data modeling 

∙Experience in platforms like Databricks and Snowflake 

∙Experience on building applications on cloud (AWS or Azure or Google Cloud) 

∙Strong analytical and problem-solving skills 

∙Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an 

advantage 

∙OOP design skills with an understanding or at least personal interest towards the concepts of Functional 

Programming  

∙Willingness to understand and enhance other people’s code, being able to work in an environment where 

developers will oversee and work on wider components also dealing with older “legacy” code 

∙Strong programming skills (Java/ Scala / Python) skills with the willingness to pick up the other language if not 

already mastered at a sufficient level is important 

∙Spring knowledge is an advantage, but in general willingness to learn, work with and even enhance in-house 

developed frameworks is a must 

∙Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile 

methodology is an advantage 

∙Prior knowledge of financial products is an advantage 

∙Bachelors or Masters in any relevant field of IT/Engineering area is an advantage  

Job Description:

We are looking for experienced Java professionals with strong backend development experience to join our technology team. The ideal candidate should have hands-on experience in Java, Spring Boot, Microservices, and related backend technologies.

Key Responsibilities:

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Develop and integrate RESTful APIs and Microservices.
• Work with Kafka for event-driven architecture and messaging.
• Write clean, efficient, and maintainable code.
• Troubleshoot and resolve application issues.
• Collaborate with frontend, QA, DevOps, and other technical teams.
• Participate in code reviews, design discussions, and technical solutioning.
• Ensure application performance, scalability, and reliability.

Primary Skills:

• Core Java
• Spring Boot
• Microservices
• REST API
• Kafka
• SQL / Database

Good to Have:

• React.js
• Cloud technologies
• Docker / Kubernetes
• CI/CD
• Agile/Scrum experience

Looking for strong experience in Java, Spring Boot, Spring Cloud, Microservices, System Design, Kafka, Redis, Cloud, Docker & Kubernetes.

FinTech / Banking experience will be an added advantage.