Realign LLC is seeking a Java Developer with expertise in Big Data, Scala, and Databricks for a contract position in Boston, MA. The role involves developing backend components and scalable data processing pipelines for large-scale data engineering initiatives.
Job Type: Contract Job Category: IT Job Description Job Title: Java Developer with Data Analytics (Scala & Databricks) Location: Boston, MA PP is mandatory Job Summary: We are looking for a Java Developer with strong exposure to Big Data, Scala, and Databricks to work on large-scale data engineering and analytics initiatives. The role requires blending Java-based backend logic with modern cloud-based data pipelines. Key Responsibilities: • Develop backend components and microservices using Java (Spring Boot / REST APIs). • Build scalable data processing pipelines using Databricks and Apache Spark (Scala/PySpark). • Integrate APIs and real-time data ingestion flows with Kafka, Azure Data Lake, or AWS S3. • Work with data teams to implement data models, transformations, and cleansing logic. • Optimize Spark jobs for performance, cost, and reliability in Databricks. • Collaborate with DevOps to deploy scalable data and microservices solutions using CI/CD pipelines. • Write efficient SQL queries and scripts for data validation and transformation. Must-Have Skills: • 4–8 years of hands-on experience in Java development (Spring Boot / RESTful APIs). • Strong command of Scala, particularly for Spark-based data processing. • Deep experience with Databricks, including Notebooks, Delta Lake, and Spark optimizations. • Experience with distributed data systems (HDFS, Hive, Spark). • Familiarity with cloud platforms – preferably Azure or AWS. • Strong skills in SQL, data modelling, and structured/semi-structured data handling. • Good understanding of version control (Git) and Agile methodologies. Required Skills Cloud Developer
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Realign LLC is seeking a Java Developer with expertise in Big Data, Scala, and Databricks for a contract position in Boston, MA. The role involves developing backend components and scalable data processing pipelines for large-scale data engineering initiatives.