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Remote Lead Data Engineer needs 7+ years experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Job title: Lead Azure Data Engineer / Architect. We are seeking a highly skilled Lead Azure Databricks Engineer with extensive experience in Databricks Delta Live Tables and Unity Catalog.
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We are seeking a Data Engineer to join our team and leverage their expertise in Snowflake, dbt, and data transformation tools to build and maintain scalable data pipelines.
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2+ years of experience in cloud ETL tools (Azure data factory, AWS glue) withExperience working with data warehouse tools (Snowflake, Databricks, Redshift etc.) Validate data sources, extraction, transformation logic and upload of data into target tables ( ETL pipelines)Design, develop, and implement comprehensive data quality tests to identify anomalies, inconsistencies, and data integrity issues for new product development initiatives, product changes, policy changes, and database changesWork with other engineers and support teams to identify, log, root-cause, triage, prioritize, and drive resolution of defects.
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Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities Engineer. DoD Military Skillbridge - Data Center Facility Engineer (HVAC, Mechanical, Electrician, Security Systems)Equinix is the world’s digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks.
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Microsoft Azure Solutions Architect Expert, Azure Data Engineer Associate or equivalent certification(s). The Data Solutions Engineer is a member of the Enterprise Data Enablement team reporting to the Sr. Director, Enterprise Data Enablement.
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At least 8 years’ experience as a Data Engineer or similar role. Position Title: Sr. Data Engineer. Design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
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As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client engagements cover a wide variety of business requirements and require our engineers to adapt quickly and stay on top of recent cloud technology trends.
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Experience creating of interactive data visualization with any the following platforms Power BI, Tableau, SAC. Experience designing highly scalable ETL processes with complex data transformations, data formats including error handling and monitoring using tools like Qlik Compose, DBT.
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Looking for a strong data engineer with hands-on experience in developing large scale Data engineering pipelines for financial services and preferably for risk management. Minimum 5 years of Hands-on experience in writing, tuning, and managing complex SQL for real-time reporting from large scale data warehouse systems in Snowflake.
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Job Summary: We are seeking a Data Engineer with expertise in Teradata and Vantage Cloud Lake to join our Tier 2 support team. Job Title: Data Engineer - Tier 2 Support. Proven experience in data engineering with a strong focus on Teradata and Vantage Cloud Lake.
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Must have 3 years of experience with a minimum of one or a combination of AI/ML Engineer, Cloud data engineer, or a Data Architect or similar role over with minimum of 1 completed projects.
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G-Research is seeking a DevOps focused Infrastructure Engineer, with deep experience in HDFS, YARN and the Hadoop ecosystem, to join its growing Big Data Platform Engineering team. As a Senior Big Data Infrastructure Engineer, you will help us deliver automation, feature enhancements and best practice security on our existing hybrid cloud platforms, as well as explore new technologies and integration with other Open Source products within our ecosystem.
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Title: data engineer in Dallas, Pelham, New Hampshire
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