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Advanced certifications in project management welcome, including PMP, CAPM and Agile. Sia Partners is looking for a talented Management Consultant to support our Risk, Regulatory & Compliance Business Unit serving our clients as a project manager.
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. 2+ years of professional data engineering experience.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The ideal candidate for this role will have strong data infrastructure and data architecture skills, proven success leading and scaling data engineering & BI teams, solid project management skills, and a vision for driving BI services in a fluid environment.
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10+ years of experience in data engineering, data science, and software engineering. Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools.
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Cloud Data Management: S3, Glacier, Glue Catalog, and/or Azure Blob. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.
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Track record of successful partnerships with Analytics, Data Science, Security, DevOps and Product Engineering teams. Work closely with our stakeholder teams, like Data Science, Product Engineering, Analytics to help them with their data computation needs.
$119,000 - $207,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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A successful data engineer will exhibit an entrepreneurial spirit and enjoy tackling complex data engineering problems, as well as shaping the future infrastructure of JumpCloud’s data engineering, performance reporting and data governance.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Economics, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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You will work directly with product, engineering, data science and machine learning teams to understand their use-case, develop reliable, trusted datasets that accelerate the decision-making process of important products.
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10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. 10+ years experience in engineering data pipelines using data technologies (Python, pySpark, Airflow) on large scale data sets.
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Bachelor's Degree in Computer Science Engineering with 12 years of IT experience in SAP Data Migration, Data Analysis, Data Audits, Process Management, Business Analysis, ECM, Business Process Re-engineering, RFPs, Quality Assurance, Data Analysis, Modeling and Testing of enterprise-wide client/server and Web-based applications and all aspects of Software Engineering and Systems Development Life Cycle (SDLC.
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You will assist with on-call rotations as a Live-Ops Incident Commander to help categorize and track real time data incidents, loop in engineering resources as needed to ensure a timely resolution to data issues.
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data engineering project management jobs Title: data science in San Francisco, Boynton-beach, Florida
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