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Experience working with Python, R, SQL, and Spark for Big Data Analytics. Experience with Azure Data Factory and Azure Databricks ETL. Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML.
$147,200 - $229,925 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
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Must have knowledge of one or more of ETL/ELT tools like AWS Glue, DBT, SSIS, Apache Spark, Informatica. Work closely with business stakeholders to gather and understand data integration requirements, ensuring ETL workflows meet the organization's data processing needs.
$118,800 - $205,920 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Design end-to-end data pipelines leveraging Databricks for ETL, streaming, and batch processing.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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Responsibilities include designing, developing, and maintaining ETL pipelines, implementing data integration solutions on AWS cloud services, and optimizing data processing workflows. Familiarity with big data frameworks like Hadoop, Spark, or Kafka for processing and analyzing large volumes of data.
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Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Leidos has an exciting opening for you as our next TS/SCI cleared Data Integration Engineer supporting the National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract.
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Build robust and scalable data integration (ETL) pipelines using SQL, Python, Spark and AWS services. Experience with data modeling, warehousing and building ETL pipelines. People Analytics, Technology, Operational Excellence team (PATOE) is looking for an experienced Data Engineer to maintain and enhance current data environment while providing, maintaining, and distributing data to a global team.
$105,700 - $205,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A candidate with distributed computer understanding and experience with SQL, Spark, ETL. - A person who appreciates the opportunity to be independent, creative and challenged. This position supports a government contract Job Description: We are seeking a seeking a great mid level data architect with data visualization tools who love to spend their days unlocking secrets held by data sets and exploring new possibilities presented by the IoT, machine learning, and artificial intelligence advances.
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Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Data Integration Engineer - TS/SCI. Marathon TS is seeking our next TS/SCI cleared Data Integration Engineersupporting the National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract.
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Demonstrated experience with cloud technologies used with ETL and big data pipelines such as Glue, EMR, HIVE, Spark, S3, SQS, and SNS. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Perform Database builds, installs, configuration, administration, and troubleshooting of database systems (e.g., MariaDB/MySQL, Postgres, Elasticsearch, Qdrant, Milvus, etc.) Ensure data integrity by performing employing data engineering best practices.
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Vector is seeking our next TS/SCI cleared Data Integration Engineer supporting the National Media Exploitation Center (NMEC) under our 10-year Technology Platform contract. JOB DESCRIPTION FOR Data Integration Engineer - TS/SCI.
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Familiarity with distributed systems and big data technologies such as Apache Spark. Architect and build scalable and efficient data pipelines and ETL processes to collect, process, and store large volumes of data, playing a crucial role in laying out the processes and foundations of our Data Engineering initiatives.
$90,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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