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Data Architect - Kafka and ETL

Company: Jnit Technologies
Location: Pittsburgh
Posted on: November 20, 2020

Job Description:

Role Data Architect - Kafka and ETL Location Oaks, PA Duration 06 months Skills and Qualifications Bachelorrsquos Degree or foreign equivalent in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering is required Experience building high-performance, and scalable distributed systems Experience in ETL and ELT workflow management Experience using Kafka as a distributed messaging system Experience with Kafka producer and consumer APIs Understanding of event-based application patterns streaming data Experience with related technologies ex Spark streaming or other message brokers like MQ is a PLUS Batch Data Movement ndash ETL (Informatica experience is preferred, but more important is a deep knowledge of data integration concepts) Experience developing, deploying and supporting scalable and high-performance data pipelines (leveraging distributed, data movement technologies and approaches, including but not limited to ETL and streaming ingestion and processing) Experience with Hadoop Ecosystem (HDFSS3, Hive, Spark) Experience in a software engineering, leveraging Java, etc. Experience in advanced distributed schema and SQL development skills including partitioning for performance of ingestion and consumption patterns Experience with distributed NoSQL databases (Apache Cassandra, Graph databases, Document Store databases) Experience in the financial services, banking and or Insurance industries is a nice to have Thanks Regards Jacob Schultz

Keywords: Jnit Technologies, Pittsburgh , Data Architect - Kafka and ETL, Other , Pittsburgh, Pennsylvania

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