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Data Engineer, Data Engineering PepsiCo, Inc. Plano, TX Actively contribute to code dvlpmnt in projects & services. Must have 2 yrs of exp w/: Data modeling, data warehousing, & building high-volume ETL/ELT pipelines End to End; data profiling & data quality tools; at least 1 MPP database tech such as Redshift, Synapse, BigQuery or SnowFlake; Cloud Orchestration tools such as Airflow, Azure Data Factory ,mng complex dependencies & strict SLA's.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline. Nurture, improve and maintain our data quality, including data accuracy, availability performance, and ease of access / understanding of the data in our data engineering ecosystem.
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Keep pace with industry trends and pioneer new approaches within the data engineering space. Lead technology execution of data engineering required to transform, harmonize data required for AI/analytics and build-out of re-useable aggregated data sets and APIs. Leverage knowledge of data architecture to enhance data pipeline effectiveness.
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Play a pivotal role in defining data engineering standards, driving innovation, and ensuring consistency across projects, adopting a Center of Excellence style approach. Design a comprehensive data engineering roadmap and execute the vision behind it.
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Qualifications: Strong foundation in data engineering, with hands-on experience with AWS ecosystem (AWS Step Functions, AWS Glue, AWS Redshift, AWS Quicksight, SNS topics, AWS Lambda, etc) Proficiency in database design and query optimization.
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Knowledge in the principles and practices of Mining, Mining Engineering and Geotechnical applications in a hard rock open pit mine environment. Proactively seek improvements to the safe mining of mine reserves relating to slope monitoring, slope maintenance, slope and catch bench designs, blasting, geomechnical data acquisition and analyses.
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We are recruiting for an Engineering Co-op who will be based at our Amesbury, MA, USA location. Data acquisition and analysis on a variety of instruments including but not limited to DSC, FTIR, Light scattering particle size analysis, tensile testing, etc.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Develop and execute against a technology roadmap for data engineering to address critical challenges and pain points – i.e. identify, sequence, and deploy relevant enterprise platforms, tools, and capabilities to evolve Xenon’s data infrastructure and address critical needs.
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Qualifications § Associates degree in engineering technology or 2 years experience working as electro-mechanical technician. § Ability to define problems, collect data, establish facts, and draw valid conclusions required.
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You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Gathers and correlates engineering data using established procedures. practice includes architecture, interiors, building engineering, workplace strategy, business transformation, asset advisory, economics and development planning, master planning, urban planning, and landscape architecture.
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Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field. The ideal candidate will possess a strong background in data engineering, analytics, and programming, along with excellent problem-solving abilities and a passion for leveraging data to drive business insights.
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Responsibilities: Assist the Director of Engineering in developing and implementing plans to maintain property, equipment, grounds and other assets in a safe and acceptable state of repair. Supervise and train all Engineering staff in Customer Service, Empowerment, Standard Operating Procedures and Loss Prevention.
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Title: data engineering Company: Harnham Ltd
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