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The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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We're looking for a Sr. Data Engineer to help us grow the impact of our team. Job Title: Senior Data Engineer. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query.
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3 or more years of experience in development of big data/data lake solutions on Cloud platforms, preferably AWS (S3, Glue/EMR, Athena, AppFlow) or Snowflake. Design, build, and launch collections of high-quality big data/data lake solutions on Cloud platform preferably AWS, Snowflake that support multiple use cases across all departments, all products, and all states.
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3+ years of enterprise data engineering experience within any "Big Data " environment (preferred). Cloud Data Engineer. 3+ years of experience working in large-scale data integration and analytics projects, including using cloud (e.g. AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g. Oozie, Apache Airflow) technologies.
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Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Familiarity with big data technologies such as Apache Spark is a plus. Proven experience as a data engineer with a focus on data processing and integration. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary: We are seeking a skilled and experienced Data Engineer to join our team.
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Familiarity with ElasticSearch and other big data technologies like MapReduce, Apache Spark, and Scala. Proficiency in Amazon Web Services (AWS) environment and tools such as SMS, Data Pipeline, and Relational Database (RDS.
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Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc. Role : Data Analyst / Data Engineer / BI Developer.
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Apache Spark : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Spark, Hadoop). As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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Responsibilities include automation and scaling of Big Data and Analytics tech stacks on Cloud infrastructure, building CI/CD pipelines, setting up monitoring and alerting for production infrastructure, and keeping our tech stacks up to date.
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Collaborate on scalability issues involving access to data and information. The MFT team is searching for a Senior Software Engineer to work on development, support, and enhancements to our MFT platform.
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big data jobs Title: engineer Company: Inc
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