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You Have: 8+ years of experience in batch and streaming ETL using Spark, Python, Java, Snowflake or Databricks for Data Engineering or Machine Learning workloads. Establish clear communication channels and ensure understanding between engineering teams, architecture, data science, and product.
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Data center construction and engineering. Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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This technology leader will bring in the experience of SaaS/cloud solutions (Snowflake/Azure/AWS), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art Data Architectures, Platforms and Services.
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Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Troubleshoot and resolve data engineering issues as they arise.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process.
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Experience working with data and/or analytics engineering teams and a basic understanding of data systems (e.g. data warehouses, ETL/ELT, Airflow and orchestration, DBT, Spark.
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5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake. Collaborate with cross-functional teams to align data engineering efforts with broader organizational goals and strategies.
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Bachelor's degree in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities.
$58,300 - $115,850 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Over 8 years of experience in data engineering, including developing ETL/ELT, data pipelines, data lakes, data warehouses, and data integration solutions. Lead and manage the data engineering team, including hiring, onboarding, performance management, career development, and retention.
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The Director, Date Engineering, Tech & Data develops and supports data products. You will report to the SVP, Data Engineering. Drive continuous improvement and innovation in data engineering processes.
$106,500 - $167,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Stay Updated: Keep abreast of emerging trends and technologies in data engineering, visualization, and UX/UI design. 5+ years of experience in data engineering with a focus on data visualization and UX.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Job Segment: Electrical Engineering, Statistics, Power Plant, Engineer, Electrical, Data, Engineering, Energy. Experience in programming Python and SQL. Should be a proficient user capable of data wrangling, data processing, visualization, statistical analysis and forecasting.
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Lead and drive the development of data engineering technology and platforms for the company's data needs, ensuring their reliability, performance, and flexibility. Proven track record with at least 10+ years of experience in data engineering, dataOps for a large-scale data platform serving multiple business lines and products, including hands-on design and implementation experience.
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Program, configure, and implement HMIs using software such as Wonderware/Aveva InTouch, C-more, Factory Talk View (Allen-Bradley PanelView) with engineering supervision. Program Allen-Bradley PLCs using RS Logix 500, RS Logix 5000, and Studio 5000 software with engineering supervision.
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Required Skills : 5+ years of experience in data engineering or ETL development role Experience with AWS cloud services: Redshift, S3, Athena, etc. 5+ years of experience in data engineering or ETL development role.
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data engineering jobs Title: java developer in Chicago, IL
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