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Data streaming expertise: Deep understanding of data streaming concepts with experience designing, analyzing, and troubleshooting complex streaming systems ( Apache Kafka, Apache Flink, Apache Beam.
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Hands on experience with streaming tools such as: Kafka, Flume, Spark Streaming, or Flink. Experience with notebook environments and big data engineering tools such as: Databricks, Sage Maker, Google Colab, Jupyter, etc.
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Demonstrated Expert level knowledge of the following programming Languages: Java, Kafka streaming, NoSQL. Build Manager (Maven), Distributed Version Control (GIT), functional automation testing (Cucumber or Karate) experience.
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Developing data streaming and CDC architecture using Kafka and Debezium. Have the ability to understand change data capture and data streaming concepts. About the RoleYou will build our data platform and related analytical tools using Ruby on Rails, GoLang, and SQL. Work with DataOps team members and DevOps to identify and implement data strategy.
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Minimum of 5 years’ experience with automated delivery pipelines, agile delivery, and test-driven development and real-time data processing (e.g., Kafka, Spark Streaming). Minimum of 5 years’ experience working with data structures, data streaming and pipelines, search, training and inference algorithms, event driven patterns and middleware technologies.
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Experience with streaming technologies such as Kafka and Spark. Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks.
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Software Engineer/Data Engineer: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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In this role, you will have the opportunity to make a lasting impact on the digital transformation journey, drive customer-centric innovation, and the ideal candidate will have a background of running transformation projects in similar disruptive industries such as Digital Payments or Fintech.
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2+ years' experience with Kafka, Streaming ,and Event-Driven Architecture. Center 1 (19052), United States of America, McLean, VirginiaSr. Director, Software Engineering - Card Modernization.
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Utilize programming languages like Java and Python, Open Source RDBMS and NoSQL databases, Distributed Streaming systems leveraging Apache Kafka, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with Spark, Hive, Kafka, Kinesis, Spark Streaming, and Airflow. Experience with AWS Services such as EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway. Experience with Spark, Hive, Kafka, Kinesis, Spark Streaming, and Airflow.
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Collaborate with development teams to define Kafka data ingestion and streaming requirements. Develop and implement efficient and scalable solutions using Confluent Kafka, Java, and Spring Boot technologies.
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Have proficient knowledge and experience with RESTful webservices, Kafka Queues, Cosmos, Json, Cassandra. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
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Knowledge of Jasper Reports and BIRT.- Exposure to Apache Kafka for real-time data streaming and event-driven architectures. Knowledge of Jasper Reports and BIRT.- Exposure to Apache Kafka for real-time data streaming and event-driven architectures.
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kafka streaming jobs in Alexandria, VA
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