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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Expertise in Databricks, Apache Spark, and big data technologies. Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows.
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The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
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Data engineering experience with transportation/airline industry. 5+ years of experience in data engineering or ETL development role. Additional Skills : Data Engineer.
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The Principal Data Engineer role will work closely with cross-functional product teams and be responsible for designing, developing, and deploying state-of-the-art data engineering techniques and streamlined data ingestion processes to extract valuable insights and intelligence from large and complex medical datasets (structured and unstructured data.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Manager, Data Engineering (Spark, Scala, SQL) At least 2 years of experience in big data technologies. As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
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You should have a Data Engineering Transformation Tools: Familiarity with data integration tools Cloud Composer (based on Apache Airflow) , Dataflow , Cloud Run. Must have Programming Languages/Infrastructure as Code/ Code Management : Strong knowledge of languages commonly used in data engineering, such as Python, SQL ,Terraform, CI/CD , Git flows, Attunity , AutoSys.
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We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture. Primary responsibilities for a Senior Data Engineer.
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Sr. Azure Data Engineer Lead DataBricks ADF Medallion Architecture As an Sr. Data Engineer Lead you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
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Substation Senior Civil/Structural Engineer Leidos Engineering offers its knowledge and expertise over a wide area of cutting-edge energy technologies and independent oversight, combined with proven business acumen.
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Preferred QualificationsThe ideal candidate holds a or degree in mechatronics, electrical computer engineering, biomechanics, or a related academic field, with specific experience in one or more of the following areas:- Programming in Python, Matlab, Simulink Real-time or similar- Mechatronics system development and real-time control- Experience in Arduino, Raspberry pi or similar- Wearable Sensors (IMUs, EMG, ECG, Foot pressure sensor, etc.
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Grow into a Big Data professional or Technical Architect role over a period. Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc.
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big data engineering jobs Title: big data engineer Company: Synopsys in Chicago, IL
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