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Preferred Qualifications for a Principal Data Engineer: Product Lifecycle experience Experience working with the following database formats: Mariadb, Mongodb, Influx Experience working with Apache Airflow, Kafka, Spark and Hadoop Experience with virtualization tools such as Trino.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Experience working with Apache Airflow, Kafka, Spark and Hadoop. Experience working with Apache Airflow, Kafka, Spark and Hadoop. Microelectronics Design and Applications (MDA) engineering is seeking a data engineer who will make significant and ongoing contributions to the maturation of our data driven processes.
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Experience with distributed technologies such as Hadoop, Spark and Kafka. Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures.
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Experience with big data tools and platforms, such as Hadoop, Spark, or Kafka. Team Player: Are you a joiner? Experience with big data tools and platforms, such as Hadoop, Spark, or Kafka.
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Js, Hadoop, Spark, Kafka, or NiFi. Intermediate experience with JavaScript and JavaScript Libraries including React JS, jQuery, and ExtJS. Intermediate experience developing enterprise solutions with Java EE and related technologies such as persistence frameworks, build tools, version control systems, and continuous integration tools (Git, Maven, Eclipse, or SVN.
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Must have experience in quality assurance of Linux and Kubernetes container systems and be familiar with big data technologies such as Hadoop, Spark, and Kafka. Must have experience in quality assurance of Linux and Kubernetes container systems and be familiar with big data technologies such as Hadoop, Spark, and Kafka.
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CollabraSpace PRIME contract is seeking a Software Engineer 3 to be the Tech Lead in a small and exciting software development team. Experience in Cloud/Big Data (Batch and Streaming Analytics) As a Software Engineer 3 and Tech Lead, you will be responsible for leading the team, developing, maintaining, and enhancing complex and diverse software systems based upon documented requirements.
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5+ years of hands-on experience of building and maintaining large scale ETL pipelines and in-depth knowledge of big data frameworks and architectures including Spark, Hadoop/MapReduce, Airflow, Streaming (Kafka or similar message bus.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hadoop/Cloud System Administrator Certification or comparable Cloud System/Service Certification is required. Additional knowledge of Linux OS development, Prometheus, Grafana, Kafka and CentOS would benefit the candidate.
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Continually stay updated with advancements and best practices in data science and software engineering, and advocate for their implementation. We are adding a Data Science Software Engineer to a small team of top performers focused on developing complex, AI-based algorithms and forecasting applications in the financial industry.
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This innovative software company is based in Baltimore MD and is in search of a highly skilled Data Engineer to join their incredibly sophisticated and collaborative engineering team! They are a top player in the Fintech/Software industry and need an Engineer who is highly motivated, team-orientated, and ready to contribute right from the start.
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Ability to investigate/research issues, determines impact, and provide solutionsStrong knowledge, implementation skills, and experience with security processes involving Java-Hadoop communication, Spark Streaming, and Kafka.
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