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Job Description: Title: Data Engineer Location: On-Site in Arlington, VACitizenship/Clearance Requirement: US Citizen with an active TS/SCI Clearance requiredJob Description: Our client is seeking experienced Data Engineers to join their Advana team.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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The primary responsibilities of a Data Engineer are to focus on building our data lake using Databricks, Synapse Analytics and Azure Data Factory in the Azure ecosystem. The Data Engineer reports directly to the Director - Data and Analytics.
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As a Data Engineer at Middle Seat Digital, you will spearhead the development and management of our data infrastructure. We are looking for a Data Engineer with a combination of the right technical expertise and a passion for helping progressive causes and candidates succeed.
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As a Data Engineer, you will use Python, SQL, Snowflake, dbt and other tools to build automated processes, models and solutions for data operations across the company. The Saints and Pelicans’ Business Intelligence and Consumer Insights department is looking for a talented Data Engineer who is passionate about designing, crafting, and operating automated analytical solutions that will drive scientific data-driven decision making and have direct and measurable positive impact to both the New Orleans Saints, the New Orleans Pelicans, and ultimately their customers - the fans.
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Topgolf is seeking a Data Engineer to help drive their mission for advanced insights by building best-in-class data. Experience with common data languages (e.g., Python, Scala) and data warehouses (e.g., Redshift, BigQuery, Snowflake, Databricks.
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We are seeking a highly experienced Azure Data Engineer with a focus on Databricks, having 12 to 15 years of expertise. The ideal candidate will lead the design and development of data and analytics projects in a global setting, demonstrating proficiency in Microsoft Azure, particularly in Databricks, ADLS, Blob Storage, Data Factory, SQL Server, and Warehouses.
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The Data Engineer is part of a team focused on data streaming, data analytics, and data science platforms. Hands-on experience with Azure cloud computing infrastructure (Azure Databricks, Azure Data Factory, Spark.
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1+ Managing a cloud-based data environment that has complex platform integration and orchestration using tools like AWS, Airflow, Talend, RedShift, or similar. Provides the Data Extraction, Transformation and Loading approaches to support On Premise, Cloud and Hybrid environments using, ETL tools such as Talend,AWS Glue, or FiveTran.
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In this dynamic role as a Data Engineer, you'll be at the forefront of shaping our data landscape. Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake.
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8+ years of Data Engineer experience in performing data analysis, data ingestion and ETL (Extraction, Transformation & Loading). is looking for a Data Engineer, Tech Lead to join the Data & Analytics team.
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Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake. Experience with master data (MDM), metadata, and data governance tools.
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Title: data engineer Company: Cdi Solutions
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