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Leading and managing a set of engineering-driven initiatives from ideation through delivery to production of high impact digital transformation and platform modernization initiatives utilizing data engineering and AI/ML technologies, while optimizing Agile practices and methodologies to enhance speed, flexibility, and delivery efficiencyImplement robust data ingestion, processing, and distribution pipelines to ensure timely and accurate data availability across the organization.
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Join our Global IT Organization as we help shape the future through digital, data, and AI. We are looking for a passionate, dynamic, Agile Transformation Manager to define and lead Global IT’s Agile transformation journey and guide our organization and enterprise through a multi-year agile transformation and modern ways of working.
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Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity, and Mission Assurance.
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Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world.
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Experience in modern AWS & and Azure cloud technologies (Kubernetes service, IoT, Digital Twins, Cosmos, etc.) Champion and serve as the enterprise architect for transformation programs including digital platforms and integrations.
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This position will work in a team with others in the data engineering discipline within IT. They will deliver data ingress, integration, transformation & egress solutions that demonstrate practical iteration, flexibility to change, and resilience to common processing challenges.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components.
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As a Senior Data Scientist in AbbVie Business Technology Solutions (BTS), you’ll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
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Backend Development: Design and implement backend services and APIs using technologies like Node.js, Python, Ruby on Rails, or Java. You’ll manage databases, authentication, data processing, and more, ensuring the application is secure, scalable, and performant.
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Led by Steve King, CEO, Publicis Media is comprised of Starcom, Zenith, Digitas, Spark Foundry, and Performics, powered by digital-first, data-driven global practices that together deliver client value and business transformation.
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5+ years in large scale big data engineering experience and designing best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Cloud Technologies (AWS/AZURE),Python/Spark, Datamesh and Datalake, Data Fabric Must have experience working with Apache Spark 3+ years of developing and operating production workloads in cloud infrastructure (AWS, Azure, etc) 3+ years of operating in a technical leadership capacity for 2+ teams.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources.
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