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5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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Collaborate with cross-functional teams including Siemens PLM, Honeywell Teamcenter Development & Support, and Database, Infrastructure & Networking teams. Support the execution of deployment and data migration scripts in Teamcenter.
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Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.
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You will play a critical role in shaping data strategy and ensuring the data infrastructure supports effective decision-making across the organization. Strong experience with BI tools (e.g. Tableau, Power BI, QlikView) as well as with data warehousing technologies and data lakes (e.g., Snowflake, Amazon Redshift, Google BigQuery.
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Enhance and/or develop tools to support better decision making across the company, leveraging the Oracle EPM system and the data warehouse. Oldcastle Infrastructure is seeking a Senior Financial Analyst to join the Financial Planning & Analysis team.
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You will directly collaborate with each partner on marketing strategy, content development, PR and comms, product messaging and positioning, and campaign performance data and reporting. Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Databricks data engineering (Databricks Professional Data Engineer and/or Spark Developer certification preferred) 2+ years of Databricks data engineering experience (Databricks Professional Data Engineer and/or Spark Developer certification preferred.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Experience using cloud-native data warehouse solutions such as Snowflake or Databricks. One source of truth reporting for the company: Develop and execute a comprehensive data definition and reporting strategy to ensure accurate analysis, and utilization of company data from Snowflake.
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Required 10+ years Extensive experience with PostgreSQL, Document DB, and Elasticsearch, including designing and managing complex data models Required - Proven experience with infrastructure as code (IaC) tools such as AWS CloudFormation or Terraform.
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In addition, be accountable for analyzing and designing the infrastructure architecture and management of technology-based business solutions to meet business and technical requirements for Georgia Child Welfare Office of Information Technology program initiatives.
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The Infrastructure Solutions Architecture (ISA) group at Intercontinental Exchange (ICE) is a cross-disciplined team that takes a full stack view on solution development. The role of an ISA Global Architect is to strengthen that cycle while transcending specific business unit boundaries to represent infrastructure at an enterprise scale.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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infrastructure turning data warehouse jobs in Atlanta, MD, Canada
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