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We have a new requirement for a Big Data Architect for our client in Washington DC (DC Government Must be local to DC and some senior level candidates. This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory The platform will be designed for District wide use and integration with other OCTO Enterprise Data tools such as Esri, Tableau, MicroStrategy, API Gateways, and Oracle databases and integration tools.
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As a data engineering team that supports the central finance team within Amazon, our primary customer will always be our CFO. Hence a day to day activity of a Sr. big data engineer within this team will mostly revolve around solving data engineering problems for transforming our ever growing financial data.
$240,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. Experience using Infrastructure as Code (IaC) best practices for provisioning and configuring cloud services including experience tools such as Terraform or AWS CDK.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.
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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. We need a big data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.
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Big Data Platforms (Apache Spark, Data Bricks, Presto, Amazon EMR) Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits.
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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Three (3) years of experience with Big Data technologies, including but not limited to Hadoop, Spark, Python, Glue, Lambda, AWS Lake Formation, Redshift, PostgreSQL, MySQL and Hive. Exposure to Big Data technologies such as Spark-SQL, Data Frame, Pair RDD's, Spark YARN, EMR.
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Experience with Big Data technologies and platforms such as Apache Hadoop, Apache Spark, and NoSQL Databases for the storing, processing and managing of large structured, semi-structured, and unstructured data sets.
$226,700 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Experience or proficiency with industry software, including CAD/Microstation, Open Roads Designer, Synchro, Vissim, HCS, ArcGIS, Remix, InDesign, and/or big data analysis tools is a plus.
$80,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong programming skills and knowledge in big data analytics such as Apache Spark and AWS cloud computing. Big data technologies may include—but are not limited to—Hadoop, Hive, Pig, Spark, relational databases, and NoSQL.
$178,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Big Data Platforms (Apache Spark, Presto, Amazon EMR) You will be expected to actively contribute to the cloud and big data community at Slalom and drive new capabilities forward.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Leverage Pyspark and Databricks for big data processing and analysis. The ideal candidate will possess a strong background in SQL, Python, and data analysis, with additional expertise in key tools such as ETL, Pyspark, Azure Data Factory (ADF), and Databricks.
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Hands on experience with big data frameworks and modern data technologies (Snowflake, dbt, Airflow, Tableau, SQL). 2+ years of experience as a Product Manager in a modern, data-driven environment or 2+ years of combined Data Engineering, Analytics, Product Management experience.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
big data jobs Title: data manager Company: Accenture Contractor Jobs in Washington, DC
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