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Strong experience with Azure Cloud on data integration with Databricks. Role: Senior Data Engineer. For accelerating and driving innovative solutions at scale, Indium has developed strong intellectual properties such as teX.ai, which automates the text analytics lifecycle by leveraging ML, NLP, and Gen AI; ibriX, a pre-built accelerator for Databricks implementation lifecycle; uphoriX, a smart test automation platform; iDAF, an accelerator for end-to-end Data validation.
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The Principal Data Engineer partners closely with teams across MD Anderson, including Enterprise Development & Integration and Enterprise Data Science departments in the build out and delivery of end-to-end analytic solutions through the Context Engine Framework.
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Torch Technologies is seeking a Mission Data SW Engineer (entry level) to join a team to assist the 36th Electronic Warfare Squadron (EWS), 350th Spectrum Warfare Wing (350 SWW), at Eglin AFB, Florida.
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The administration activities include data logger integration, integrating standalone automation systems to OSIsoft PI system as well as responsible for version control for PLC programming and critical parameter management.
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And data integration (ETL) development using Informatica, Talend, AWS Glue or similar. At Metropolis, we are building the next-gen end-to-end data ecosystem including Data Ingestion, Data Warehousing, Data Integration, Analytic Data Products and Machine Learning capabilities.
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The Data Engineer will provide engineering, application analysis, design, development, application integration, system architecture services to the support of enhancements to the NCIS Criminal Investigative capabilities.
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Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend. The Data Engineer builds pipelines that are used to transport date from a data source to a data warehouse.
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Integration specific certifications such as Informatica Cloud Services Data and Application Integration certification, Certified SOA Integration Professional, Certified System Integration Specialist (IASA), Microsoft certified: Azure integration and Security, AWS certified DevOps Engineer, or similar is preferred.
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Experience with Data Integration tools like Spark/Databricks or equivalent. As a Senior Data Engineer, you will play a critical role in helping the organization leverage data and technology to drive business growth, customer engagement, and data-driven decision-making.
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We are seeking a skilled, motivated, and experienced Sr. Process Integration Engineer to join our dynamic team in developing our wafer engineering products. Proficient in Manufacturing Execution System (MES), Design of Experiments (DOE), statistical data analytics (JMP and SAS), and process control (SPC, APC.
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Minimum of 5 years of experience in wafer process integration, technical program management, or related roles within the semiconductor, HDD, or related industry. Lead the implementation of Manufacturing Execution System (MES) solutions for process control/data management and drive data automation initiatives to enhance process monitoring and control as the representative from the wafer engineering team.
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The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs.
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The Data Engineer Senior is an experienced data professional who analyzes, architects and engineers data pipelines and data integration activities to power data products and support the overall Knowledge Management and Data Operations mission at Cook Children’s.
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Key Responsibilities:Design, architect, and engineer big data solutionsDevelop a modern data analytics lake housePropose and standardize ELT, BI, AI, governance, and analyticsPublish enterprise ingress, development, transform, egress, consumption guidelinesInstrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. GCP Data Engineer.
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