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Big Data and Analytics: To handle and analyze enormous volumes of data, Data Engineer should have experience use big data technologies like Azure Databricks and Apache Spark to create data processing workflows and pipelines, to support data analytics, machine learning, and other data-driven applications.
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This position will be working as Data Engineer for Aquent Studios on projects for one of its top clients, John Deere, located in Moline, IL. The client's product team is seeking individuals with production support and development experience with Informatica and Databricks who who can develop and deploy solutions in an AWS Cloud environment.
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Lead data engineer role with a major Financial Services company. Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs.
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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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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.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Maintain and optimize our data warehouse (BigQuery) in collaboration with the Lead Data Engineer and the data engineering team. As the Data Engineer specializing in analytics and interactions data, you will be a key member of our Digital Ops team, responsible for making data accessible and ensuring the uninterrupted flow of data in order for us to best evaluate and optimize performance.
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Integrate data from Segment, Google Analytics, Google Tag Manager, Google Ads, and Facebook Ads into data lakes and warehouses including BigQuery and Cloud Storage inside Google Cloud Platform.
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Job Title: Data Engineer. Experience with data engineering tools and technologies, such as Apache Spark, Hadoop, and Hive. Experience writing Python scripts for data engineering tasks.
$75 - $80 an hourExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As a Data Infrastructure Engineer on our Integrated Public Health Infrastructure team, you will play a pivotal role in enhancing our data infrastructure, crucial for our advanced public health analytics efforts.
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The Data Engineer is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, data architects, and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
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As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data infrastructure and systems. 8+ years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
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We are looking for a Data Engineer with a strong combination of technical skills, creativity and curiosity, a strategic mindset, and a team-player personality to join our growing Data Platform team.
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The Data Engineer will be responsible for operationalizing data and analytics initiatives for the company. Knowledge and/or familiarity of the midstream services industry and data generated in support of business activities related to the gathering, compressing, treating, processing, and selling natural gas, NGLs and NGL products, and crude oil will be strongly preferred.
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Experience with cloud-based data engineering tools and services. Familiarity with Python libraries for data manipulation and analysis, such as NumPy, Pandas, and SciPy. Familiarity with data modeling and database design.
ExpandApply NowActive JobUpdated 6 days ago
Title: data engineer Company: Iris Software Group
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