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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated , hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
$73,100 - $166,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$149,200 - $264,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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BigBear.ai’s customers, which include the US Intelligence Community, Department of Defense, the US Federal Government, as well as customers in manufacturing, healthcare, commercial space, and other sectors, rely on BigBear.ai’s solutions to see and shape their world through reliable, predictive insights and goal-oriented advice.
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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Lovelytics is seekinga skilled consultant with experience delivering and leading strategic Databricks and data engineering client engagements.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in Linux and Bash shell scripting Experience with Azure ADF, Azure Databricks, Terraform templates, ADF Automated pipelines. Build ETL Data Pipelines in Azure Cloud using Azure ADF and Databricks using PySpark and Scala.
Full-timeRemoteExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Understanding of data modeling/visualization, database design principles, and data governance practices. The Decision Support Analyst will help design and implement decision-support tools and systems, focusing on advanced data analysis, modeling, and innovative data tool creation.
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Hands-on experience with Databricks or Snowflake. Experience with Unity Catalog in Databricks is a plus. Hands-on experience with Databricks or Snowflake. As a Data Operations Specialist, you will work with a team of consultants, engineers, and analysts to identify the business requirements to migrate CFPB's data to the cloud while continuously improving data quality, security and integrity.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform. Well versed using Azure/Databricks and related technology tools and data sources (ADF, ADLS, Azure SQL.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, Terraform.
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Location & Travel: The Data Engineer position will be an on-site role based at the Pentagon in Northern VA. Security Clearance: The Data Engineer must be a United States Citizen and hold a current DoD TS/SCI security clearance.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Advanced experience working with Spark/Databricks. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
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databricks job in Washington, DC
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