Apache Spark Expert

Your Role :We are looking for a Senior Cloudera Developer (Data Engineer) with extensive experience in Spark, the Hadoop ecosystem, and GCP services to design and implement data :- Design, develop, and implement data solutions using Cloudera technologies such as Hadoop, Spark, and Hive.- Collaborate with data engineers to optimize data pipelines and data...

We are looking for Senior data engineers who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning.Build products in the data analytics space.Roles and Responsibilities :- Develop and manage robust ETL pipelines using Apache Spark (Scala).- Understand Spark concepts, performance optimization techniques, and governance...

About The Role   Develop, test, and deploy data processing applications using Apache Spark and Scala.Optimize and tune Spark applications for better performance on large-scale data sets.Work with the Cloudera Hadoop ecosystem (e.g., HDFS, Hive, Impala, HBase, Kafka) to build data pipelines and storage solutions.Collaborate with data scientists, business...

Job Description: Spark/Scala/PySpark developer who knows how to fully exploit the potential of our Spark cluster. Should have ability to clean, transform, and analyze vast amounts of raw data from various systems using Spark to provide ready-to-use data. **Responsibilities**: Create Scala/Spark/Pyspark jobs for data transformation and aggregation Produce...

ob Description: Spark/Scala/PySpark developer who knows how to fully exploit the potential of our Spark cluster. Should have ability to clean, transform, and analyze vast amounts of raw data from various systems using Spark to provide ready-to-use data. **Responsibilities**: Create Scala/Spark/Pyspark jobs for data transformation and aggregation Produce...

JOB DESCRIPTION: Spark/Scala/PySpark developer who knows how to fully exploit the potential of our Spark cluster. Should have ability to clean, transform, and analyze vast amounts of raw data from various systems using Spark to provide ready-to-use data. SKILLS: Pyspark Scala (with a focus on the functional programming paradigm) Apache Spark 2.x, 3.x -...

Requirements - 6+ years of progressive experience in development with Java/J2EE technologies. - Expertise in development with Apache Spark streaming and batch framework - Proficiency in programming SparkSQL, Java for Spark. - Experience with Kafka / high performance streaming frameworks - Should have experience working with Hadoop ecosystem components -...

We are seeking an experienced Lead Data Engineer to design, build, and optimize large-scale data solutions. This role involves working with modern cloud and big data technologies to enable data-driven decision-making, while leading initiatives that ensure scalability, reliability, and efficiency.Key Responsibilities :- Lead the design and deployment of...

Detailed JD (Roles and Responsibilities) :- At least 8+ years of experience and strong knowledge in Scala programming language.- Able to write clean, maintainable and efficient Scala code following best practices.- Good knowledge on the fundamental Data Structures and their usage - At least 8+ years of experience in designing and developing large scale,...

Spark Administration: Install, configure, and manage Apache Spark 3.x. clusters. Monitor and optimize Spark cluster performance. Troubleshoot and resolve Spark-related issues. Manage Spark job scheduling and resource allocation. Ensure high availability and reliability of Spark clusters. DevOps Practices: Implement and manage CI/CD pipelines using tools like...