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Experience with Managed Kafka Data Streaming, ETL (Informatica, Azure Data Factory) platforms. Experience with Azure/AWS native Data Protection & Backup/Recovery, Site recovery solutions.
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Experience working with Laboratory Information Management Systems (LIMS), Chromatography Data Systems (CDS), or Scientific Data Management Systems (SDMS). Demonstrating mastery across a wide range of data and software engineering, including data warehousing, data integration, data visualization and analysis, software development, statistics, and machine learning.
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Networking and Security: Knowledge of network infrastructure, cloud computing (e.g., AWS, Azure), and cybersecurity best practices to ensure data privacy and protection. Deep understanding of laboratory systems such as LIMS, ELN, LES, and scientific data management systems.
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Build database warehouses using ETL tools including Informatica and SSIS. Perform data visualization and analysis using Tableau and Power BI. Make and test modifications to database structures.
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Data Engineering: Perform basic data engineering tasks, including data model and visual pipeline development, knowledge graphs, and vector database management.
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Azure Certification Track - 103 Microsoft Azure Administrator 2020, AZ-300 Microsoft Azure Architect Technologies 2020, or AZ-301 Microsoft Azure Architect Design 2020.
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We are seeking a talented and highly motivated Senior Data Architect to join the GRCs Bioinformatics Engineering (BE) team. Collaborate with other Bioinformatics Engineering sub teams to identify and address data integration and interoperability challenges.
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AWS Certified Solutions Architect, AWS Certified Solutions Associate, AWS Certified Cloud Practitioner. Prior experience designing, managing VMware, AWS and Azure environments. Bachelor's degree in Computer Science, Computer Engineering, Information Technology and 3-5 years’ experience.
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8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. Demonstrated experience implementing data management life cycle, using data quality functions like standardization, transformation, rationalization, linking and matching.
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The Agile Coach will also lead the rollout and adoption of toolsets and practices across Global IT to support the transformation toward agile (i.e., automated regression testing tools, Azure DevOps.
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Minimum of 5 years of experience in process safety engineering, preferably in pharmaceutical manufacturing or a related industry. Lead the implementation and continuous improvement of the Process Safety Management program.
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Infrastructure as code, data warehousing, Apache Airflow, Kafka or similar streaming data engineering tools. In depth understanding of the business of pharmaceutical medicine including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules/guidance, legal and compliance, issue management and business development opportunity evaluations.
$195,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proficiency in building data engineering pipelines using tools like Apache Airflow, Glue ETL, etc. 30% Data Engineering Tools (Apache Airflow, Glue ETL, etc.) Leverage your expertise in AWS development, data engineering pipelines, CI/CD, containerization, Python, SQL, NoSQL, and more to drive the success of the ARCH platform.
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The Architect & Engineer Business Specialist is instrumental in enhancing Rust-Oleum's market presence by ensuring our products are specified in architectural, engineering, and design projects.
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Data Governance and Data Quality Management (AWS Glue Catalog) Azure DevOps/Confluence/JIRA, Docker, JIRA, Jenkins, Git or SubVersion apart from build tools and frameworks.
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azure architect data management engineering jobs in North Chicago, IL
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