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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Agile Scrum, Jira, Bitbucket, Jenkins, Splunk, Kafka, Hadoop, Reports, Selenium, Microservices and APIs, Deployment automation, unit test automation, CI/CD tools, OpenShift Containter. Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack.
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proven professional working experience in any of the following: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift. Proven professional working experience in Event Streaming Platforms and data pipeline orchestration tools like Apache Kafka, Fivetran, Apache Airflow, or similar tools.
$195,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Preferred Skills Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. Hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS and ADLS. Strong understanding of data integration technologies, including Spark, Kafka, eventing/streaming, and Azure DataFactory.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Proven ability to handle and process large volumes of data and ability to utilize big data frameworks and tools such as Apache Spark, Hadoop or Kafka for real-time data ingestion and processing.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
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Well versed with Spark, Hadoop, Cloud, Python/Scala and Java, Streaming, Kafka. Bachelor's degree in computer science or a related field plus 3 years' experience in data science, data engineering, software engineering, or related domain.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Experience with Apache Airflow, Hive, Snowflake, Kafka, Python.
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Experience using modern containerization software including Docker, OpenShift and Kubernetes Experience with Snowflake, Microsoft Power BI, Splunk, Securonix, and CywareProficiency with automation tools such as Ansible, Chef or Puppet Project Management experience Industry related certifications such as PMP, GSLC, GISF, GSEC, CISSP Experience with big data tools: Hadoop, Spark, Kafka, etc.
$195,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Js, Scala, Spark, PySpark, Hadoop, Kafka, Rust, NoSQL, or Kubernetes Coursework or Knowledge of Gen AI, LLM, Machine Learning Knowledge of Distributed Systems Design, Scalability, High Availability Resiliency Knowledge in Mobile Device delivery.
$35 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience designing, building, and supporting real-time and batch data pipeline and analytical solutions with Hadoop (Hive, Kafka, Spark, Spark Streaming, HBase) and Teradata, ETL tools like Informatica, Talend, Data Fusion, Python/Java, Oracle/Exadata.
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hadoop kafka jobs Title: principal software engineer Company: Netapp
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