Senior Java Software Engineer
3 weeks ago
Scala/Spark Data Engineer with strong Java expertise
to join our dynamic team. In this role, you will design, develop, and optimize scalable data transformation and processing pipelines using
Scala ,
Apache Spark , and
Java . You will work closely with our data and development teams to build innovative solutions, integrate with various databases, and ensure high-performance data systems.
Key Responsibilities :Data Processing & Transformation : Develop and implement data transformation jobs using Scala/Spark, focusing on scalability and efficiency.Pipeline Design : Design and maintain robust data processing pipelines, leveraging Apache Spark APIs.Java Development : Build and support Java-based applications using Core Java, Advanced Java, Spring, and Spring Boot.Optimization & Performance : Tune Spark queries and optimize data workflows for performance and reliability.Integration & Collaboration : Integrate with SQL and NoSQL databases (e.g., Microsoft SQL Server, Oracle, PostgreSQL, MySQL, HDFS, S3, Cassandra, DynamoDB) and work with cross-functional teams to understand business needs.Testing & Documentation : Produce high-quality documentation and unit tests using testing frameworks like Scalatest, JUnit, and Mockito.
Key Skills & Experience :Scala & Spark : Expertise in Scala, with a focus on functional programming. Strong experience with Apache Spark (RDD API, SQL DataFrame API, MLlib, GraphX, Streaming).Java Development : Proficiency in Java development, including Core Java, Spring, Spring Boot, and Advanced Java. Experience in object-oriented programming (OOP) is essential.Database Integration : Hands-on experience with SQL and NoSQL databases, ensuring seamless integration and data processing.Distributed Systems Knowledge : Understanding of distributed systems principles (CAP theorem, partitioning, replication, etc.).Testing & Documentation : Skilled in using Scalatest, JUnit, and Mockito for unit testing. Ability to create clear Scaladoc-style documentation.
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