Java Spark developer

About the role

We are seeking an experienced and motivated Java Spark Developer to design, develop, and maintain high-performance, large-scale data processing pipelines and distributed applications. In this role, you will leverage Core Java and Apache Spark to build resilient batch and real-time streaming data architectures, optimize distributed data workloads, and collaborate with cross-functional teams including Data Scientists, Cloud Engineers, and Solution Architects.

What you'll do

• Leverage Core Java and Apache Spark to build resilient batch and real-time streaming data architectures, optimize distributed data workloads
• Design, implement, and maintain robust, scalable data ingestion and ETL/ELT pipelines using Apache Spark (Core, SQL
• Develop performant, low-latency microservices and distributed processing modules integrated with messaging platforms (e.g., Apache Kafka)
• Build and maintain interfaces to relational databases, distributed data lakes, and NoSQL stores (e.g., Hive, Cassandra, HBase, MongoDB, Delta Lake, Snowflake)

What you need

• 1–3 years in data science & ai
• Spark
• Java
• SQL
• ETL
• Kafka
• Snowflake
• Any graduate

Good to have

• NoSQL
• MongoDB
• Scala
• Microservices
• Hive
• Cassandra