Java + Spark

Primary Skill: Spark, Java programmingStrong knowledge in Apache Spark framework Core Spark, Spark Data Frames, Spark streamingHands-on experience in any one of the programming languages (Java, Scala)Good understanding of distributed programming concepts.Experience in optimizing Spark DAG, and Hive queries on TezExperience using tools like Git, Autosys,...

Java Spark LeadStrong understanding of distributed computing and big data concepts. Experience with Hadoop ecosystem, Kafka, Hive, and other data tools is a plus. Proficiency in writing optimized Spark jobs and handling large-scale data. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Excellent problem-solving,...

Key Responsibilities:Lead the design and development of scalable data processing solutions using Java and Apache SparkCollaborate with data architects analysts and other stakeholders to understand data requirementsOptimize Spark jobs for performance and scalability in distributed environmentsEnsure code quality through code reviews unit testing and best...

Job Description Key Responsibilities: - Lead the design and development of scalable data processing solutions using Java and Apache Spark - Collaborate with data architects analysts and other stakeholders to understand data requirements - Optimize Spark jobs for performance and scalability in distributed environments - Ensure code quality through code...

**Job Description**: **skill Set**: - 6+ years of development experience. - Good hands-on experience in Java programming & Big Data technologies. - Handson-experience in designing & providing robust solutions. - Experience with Spring Boot, RestAPIs & Microservices - Experience with **Big Data technologies like Spark SQL, Spark Streaming, Hadoop etc**: -...

Job Description Key Responsibilities: - Application Development: Develop and maintain Java-based applications using the Spring framework. - Batch Data Processing: Design and implement batch processing solutions using Spark Batch for large-scale data processing. - Real-Time Data Processing: Build and maintain real-time data pipelines using Spark Streaming for...

Job Description Responsibilities : Lead the design and development of scalable data processing solutions using Java and Apache Spark. Collaborate with data architects, analysts, and other stakeholders to understand data requirements. Optimize Spark jobs for performance and scalability in distributed environments. Ensure code quality through code reviews,...

Job Description What are we looking for - Actively seeking experienced senior developers in #Spark and #Kafka who are open to working in the PST timezone. - Ideal candidates should possess a minimum of 6 years of hands-on experience with Spark, Kafka, java, Postgres, and a track record of successfully delivering 3-4 Spark projects.

Design, code, test, document and implement application release projects as part of development team.Preferably 4 years of proven project experience working on JAVA 8 and abovePreferably 3 yrs hands-on with Spark 2.0 and above,Should be good with Hadoop, Hive, Oracle/PLSQL and Unix Shell ScriptingShould have knowledge on Spring Boot and Rest APIGood to have...

Job Description We are looking for a motivated Apache Spark Developer (Entry Level) to join our data engineering team. The ideal candidate will learn to design, develop, and maintain large-scale data processing applications using Apache Spark and related big data technologies. Key Responsibilities: - Assist in developing batch and real-time data processing...