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Experience with data integration, ETL processes, and real-time data streaming. Experience with automating secure access to AWS services like (Redshift, Athena, S3), Microsoft O365, Microsoft Azure, Snowflake, PowerBI.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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7+ years expertise in big data ecosystem for data integration, data storage, compute framework, analytics, and advanced visualization (i.e., ETL Tools, Streaming Tools, No-SQL data bases, Spark, Airflow, ELT tools like DBT, Reporting Tools, AI/ML Platforms.
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Any of the experience related to Data Warehousing, ETL, and Data Streaming platforms such as Kafka will be nice to have. We are in search of a highly motivated candidate to join our talented Team. Job Title: Sr. Data Engineer Location(s): Mclean, VA Must have: 5+ years of experience with Python, SQL, Airflow, Spark, AWS (EMR, Lambda) Nice to have: Scala, Snowflake The candidate will be collaborating with other engineers and following the Agile Methodology.
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Experiencewith data pipelines and ETL/ELT processes – Boomi Experience is a plusExperiencewith managing data workflows at scale – Apache Airflow is a plusExcellentproblem-solving and analytical skills.
$135,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities: MuleSoft integration development, design, build, test, debug, deploy, APIs, and integrations Design and develop web services with SOAP and REST API's Develop detailed software design documentation and API documentation Work on cutting-edge technologies like Big Data, reliable messaging frameworks & ETL Do client showcases and demonstrations of developed solutions Design and develop APIs using MuleSoft Anypoint Platform.
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Desired:Strong Python skills, Experience with messages systems like Kafka, Working experience with ETL processing, Working experience with data workflow products like NiFiRecent experience (within the last 5 years) coordinating an organization’s shift toward implementing and executing modern IT delivery methodologies (e.g., DevSecOps, Agile, AIOps.
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Desired Qualifications: 7+ years relevant experience Experience with data migration and ETL (Extract, Transform, Load) processes, particularly within Microsoft Dynamics 365 or similar CRM/ERP systems.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory). This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory.
$100 an hourFull-timeExpandApply NowActive JobUpdated Today - 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. - 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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This engineer will assume wide-ranging projects regarding ETL, migration of processes and services from on-premises to cloud environments, Artificial Intelligence/Machine Learning (AI/ML), machine translation, and similar efforts.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data. Perform ETL transformations between data stored in MS SQL Server Management Studio, Azure SQL Database, Oracle databases, and ServiceNow.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs to reduce the execution window or reduce resource utilization.
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Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Experience with cloud computing (AWS, Microsoft Azure, Google Cloud) to help secure your financial future and preserve your health and well-being, including:Premier Medical, Dental and Vision Insurance with no waiting period.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today
etl job in Glen Echo, MD
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