CARE IT SERVICES
Data Engineer
Location: Hybrid (Houston, TX - Atlanta, GA - Jersey City, NJ - Bay Area CA - Tampa, FL) Duration: Full Time (12+ months) Experience Required: 7+ / 10+ yrs. (Mid-Level & Senior Level Positions) Roles & Responsibilities
This is a need for someone to build and write the capabilities. Experience building and enhance Scala framework and Spark experience Design and develop automated testing framework to perform data validation. Design and build a high performing and scalable data pipeline platform using Hadoop, Apache Spark, MongoDB, Kafka. Collaborate with application partners, Architects, Data Analysts and Modelers to build scalable and performant data solutions. Provide tool support, help consumers troubleshooting pipeline issues. Utilizes a thorough understanding of available technology, tools, and existing designs. Required Qualification:
Good years of experience in application development including Python, SQL, Scala, or Java. 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices If you are a motivated and skilled DATA ENGINEER with a passion, we invite you to apply at sudheer(at)careits(dot)com for this exciting opportunity. Compensation: $90,000.00 - $130,000.00 per year
Location: Hybrid (Houston, TX - Atlanta, GA - Jersey City, NJ - Bay Area CA - Tampa, FL) Duration: Full Time (12+ months) Experience Required: 7+ / 10+ yrs. (Mid-Level & Senior Level Positions) Roles & Responsibilities
This is a need for someone to build and write the capabilities. Experience building and enhance Scala framework and Spark experience Design and develop automated testing framework to perform data validation. Design and build a high performing and scalable data pipeline platform using Hadoop, Apache Spark, MongoDB, Kafka. Collaborate with application partners, Architects, Data Analysts and Modelers to build scalable and performant data solutions. Provide tool support, help consumers troubleshooting pipeline issues. Utilizes a thorough understanding of available technology, tools, and existing designs. Required Qualification:
Good years of experience in application development including Python, SQL, Scala, or Java. 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices If you are a motivated and skilled DATA ENGINEER with a passion, we invite you to apply at sudheer(at)careits(dot)com for this exciting opportunity. Compensation: $90,000.00 - $130,000.00 per year