Senior Java Bigdata Engineer

Role Description:

• Design & Develop: Build and maintain scalable data platform frameworks leveraging Big Data technologies (Spark, Hadoop, Kafka, Hive, etc.) and GCP services (Big Query, Dataflow, Pub/Sub, etc.).
• Data Pipeline Development: Develop, optimize, and manage batch and real-time data pipelines to support business intelligence, analytics, and AI/ML workloads.
• Java Development: Utilize Java to build efficient, high-performance data processing applications and frameworks.
• Cloud Architecture: Design and implement cloud-native data solutions on GCP, ensuring reliability, security, and cost efficiency.
• ETL & Data Integration: Work with structured and unstructured data sources, integrating data from multiple systems into a unified platform.
• Performance Tuning: Optimize data processing performance by fine-tuning Spark jobs, SQL queries, and distributed computing environments.
• Collaboration: Work closely with data scientists, analysts, and software engineers to deliver high-quality data solutions.
• Automation & Monitoring: Implement CI/CD pipelines for data workflows and set up monitoring solutions to track system health and performance.

Required Skills & Qualifications:

• Strong proficiency in Java for data engineering and backend development (Spring boot, microservices).
• Hands-on experience with Big Data technologies (Hadoop, Spark, Kafka, Hive, HBase, etc.).
• Expertise in GCP services: Big Query, Dataflow, Pub/Sub, Cloud Storage, Composer (Airflow), Python Dataproc, etc.
• Experience in developing data platform frameworks to support scalable and reusable data solutions.
• SQL & NoSQL database experience (e.g., Big Query, PostgreSQL, Cassandra, MongoDB).
• Knowledge of ETL/ELT processes and data modelling concepts.
• Experience with CI/CD tools (Git, Jenkins, Terraform) and infrastructure as code (IaC).
• Understanding of distributed computing principles and high-performance data processing.
• Strong problem-solving skills and ability to work in a fast-paced, agile environment. 

Why Join Us?

• Opportunity to work in the fast-growing Data & AI space.
• Be a key player in shaping our sales strategy and team culture.
• Work in a collaborative, innovation-driven environment.
• Competitive compensation and career growth opportunities.