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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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Consult with data stewards, business process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data architecture, domain data models, tools and frameworks used for data capabilities, data sources, control features, data interfaces with other systems required.
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Proficiency in programming languages relevant for data engineering (Python, SQL and big data technologies, e.g. Spark) Our current data stack includes the following tools/systems: PostgreSQL, Snowflake data warehouse, Stitch, Fivetran, dbt, Looker, Segment.
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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Successful implementation or usage of modern software engineering or observability tools to solve a key financial industry business or support critical systems. In this role as an Engineering Systems Architect, you will be the lynch pin to convert human ideas into delivered production functionality.
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Reporting to the Senior Manager, Engineering, the Engineering Project Manager will lead and oversee the planning, engineering, and permitting of clean energy projects in metro New York City. The ideal candidate will have a strong engineering and project management background, and a passion for renewable energy initiatives.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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A thorough understanding of and experience utilizing systems engineering protocols and concepts - DNS, DHCP, ADFS, Modern Auth. and similar or related technologies. Knowledge of and experience engineering various operating systems and protocols across both Windows and Linux platforms including but not limited to: Windows Server 2019, 2018, 2016, 2012.
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Architect, design, and build distributed systems processing and applying business logic for Big Data workloads, serve thousands of clients and support advanced analytics using tools such as SnowFlake, BigQuery, Databricks, Kafka, Airflow, DBT, Looker, MongoDB, etc.
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10+ years of experience in Systems Engineering, Administration, and Architecture. Provide oversight of the design, maintenance and enhancement of best-in-class Atlassian technologies and governance policies in line with the goals of SiriusXM. This leader will also identify and evaluate opportunities for new technologies, like cloud platform and AI, as well as partner with internal business users to identify needs around reporting, custom integrations, and other development needs.
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Minimum of 5 years of experience in financial operations as a Business Analyst/Business Systems Analyst/Operations Analysts or similar, preferably with cryptocurrency experience. They should have a solid grasp of financial operations, payment systems, web2, and web3 protocols, and possess excellent communication skills to interact with stakeholders across sales/trading, operations, legal and compliance, along with engineering teams.
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Familiarity with cloud computing platforms like Amazon Web Services (AWS) and proficiency in leveraging cloud-based services for data storage, processing, and analytics, such as Amazon S3, EC2, and Lambda.
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Data center construction and engineering. Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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big data engineering business systems jobs Company: Amazon Web Services Aws in Secaucus, NJ
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