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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). Possess strong working knowledge of various data integration and business intelligence tools, including Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik.
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Design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration. Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive.
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Expertise in data integration, ETL tools, and data engineering programming/scripting languages (Python, Scala, SQL) for data preparation and analysis. Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Proficiency in SQL, SAS or R, and JavaScript, CSS, HTMLExperience with database management and integration (e.g., Azure, Fabric)Bachelor's degree in Computer Science, Information Technology, Data Science, Finance, or a related field and 5-7 years of relevant experience.
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Due diligence, mergers, acquisitions, and/or integration experience preferred. At least 4 years of work experience, preferably in internal audit, public accounting, information technology, information security or data analytics.
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AWS Solutions Architect, AWS Developer, or AWS Certified Big Data Specialty (Data Analytics Speciality) Work alongside customers to build data management platforms using Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning.
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Qualifications: 10+ years of experience in Architecture, design and development of large-scale data ecosystemsMastery level Data Architecture skills – a deep understanding of data architecture patterns data warehouse, integration, data lake, data domains, data products and cloud technology capabilitiesStrong experience with design and development of complex data ecosystems leveraging next generation of cloud technology stack across AWS Cloud, PySpark and Snowflake.
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Data governance and pricing controls including mass pricing maintenance; Van Sales, Pre-Sales & Pre Order DSD GTM models including enabling integration of back end SAP system with the front-line mobility solutions.
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Experience with Allen Bradley family of PLC's ControlLogix and AVEVA software solutions, HMI/SCADA, Data Historian, and Batch software is a preferred. Expertise in batch process manufacturing in all the following project phases: Requirement’s documentation, detailed design generation (base on IS88 and using object-oriented design approach), implementation, system integration, testing and on-site startup, using PSM (Process Safety Management) elements and Industrial standards.
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Who we are looking for:MAX Digital/ACV is looking for an Senior level Engineering Manager in our Data Engineering department that will play a critical role in the design, development, optimization, and maintenance of all of our data platforms (SQL Server, MongoDB, etc.
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Experience writing unit testing and integration testing high speed real=time and batch solutions cloud-based data solutions any devops tools like terraform ansible Jenkins preferred relational no SQL data structures concurrency Multithreading OOD bs degree aws preferred.
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Innovate Trial Methodologies: Drive the integration of in silico trials, decentralized clinical trials, and digital health technologies to enhance the efficiency and reach of clinical studies, ensuring robust data collection and patient accessibility.
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Experience in data analytics systems (Alteryx, Power Query, Power BI, Tableau) preferred. The manager works closely with the integration senior manager and tax analyst to lead the development of global tax transition and integration strategy and framework.
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Mastery of small- and mid-level projects (e.g., product development, data integration, process improvement) Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward.
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Description Internal Title: Manager, IT COE – Global Master Data Integration: Hybrid- Chicago or Toronto | Standard Business HoursHere at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies.
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