Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply
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Cloud Data Engineer Cloud Data Engineer
Posted 2 weeks ago
Technology Lead | Data Management - Data Integration | Datastage
Posted 3 weeks ago
SAP Data Architect (Sap Hana Side Car & SAP Bdc- Business Data Cloud)
Posted 30+ days ago
Data Center Technical Operations Engineer - Data Center Technical Operations Engineer III
$52 - $52 / hour
Posted 30+ days ago

Data Engineer (With Snowflake And Data Warehousing)
Posted 2 weeks ago
Data Scientist/Data Engineer - Junior (Remote)
$90,000 - $154,000 / year
Posted 30+ days ago
Incoming Data Processing Associate/Data Entry Clerk
$14 - $14 / hour
Posted 3 weeks ago
Data Modeler And Data Governance Specialist
Posted 30+ days ago
Senior Data Engineer - Credit Data Analytics
$140,000 - $160,000 / year
Posted 3 weeks ago
IT - Technology Architect | Development Process Generic | Big Data Analytics Process Technology Architect | Development Process Generic | Big Data Analytics Process
Posted 30+ days ago
Senior Data Analyst Cyber Data Operations
$59 - $59 / hour
Posted 30+ days ago
Health Data Services Strategy And Data Architect Manager
Posted 30+ days ago
Data Security Architect / Cybersecurity Consultant (Data Security Admin 4) (93169-1)
Posted 30+ days ago
Junior Data Scientist/Data Analyst
$95,000 - $154,000 / year
Posted 30+ days ago
Data Engineer (Data Pipelines & Modeling)
Posted 30+ days ago
Snowflake Data Architect (Maestro, Snowflake, Data Architecture, Banking )
Posted 30+ days ago
Data Analyst/Data Engineer
Posted 30+ days ago
Principal Product Manager, AI Data Solutions
$170,000 - $212,000 / year
Posted 2 weeks ago
Data Analyst - Rental
Posted 2 weeks ago
Senior Data Engineer
$114,900 - $227,000 / year
Posted 2 weeks ago
Cloud Data Engineer Cloud Data Engineer
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Overview
Job Description
The Cloud Data Engineer will be responsible for developing, expanding, and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.To ensure success as a data engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable data engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills. Key accountabilities of the function Leading Operations for Assigned Systems:Designing, implementing, and operating assigned cloud technology platforms as the technical expert.Leading internal and external resources in the appropriate utilization of cloud technology platforms. Executing ITSM/ITIL processes to ensure ongoing stable operations and alignment with SLAs.Steering providers in the execution of tier 2 and 3 support tasks and SLAs.Resolving escalated support issues. Performing routine maintenance, administering access and security levels.Driving System Management & Application Monitoring.Ensuring monitoring and correct operation of the assigned system. Ensuring changes to the system are made for ongoing run and support.Ensuring consolidation of emergency activities into regular maintenance.Analyzing system data (system logs, performance metrics, performance counters) to drive performance improvement. Supporting Agility & Customer Centricity.Supporting the end user with highly available systems.Participating in the support rotation. Performing other duties as assigned by management Additional skills: special skills / technical ability etc.Demonstrated experience in vendor and partner management.Technically competent with various business applications, especially Financial Management systems. Experience at working both independently and in a team-oriented, collaborative environment is essential.Must be able to build and maintain strong relationships in the business and Global IT organization.Ability to elicit cooperation from a wide variety of sources, including central IT, clients, and other departments. Strong written and oral communication skills.Strong interpersonal skills.
Quals--BASIC QUALIFICATIONS:This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of relevant employment experience.2+ years of work experience with ETL and Data Modeling on AWS Cloud Databases. Expert-level skills in writing and optimizing SQL.Experience operating very large data warehouses or data lakes.3+ years SQL Server.3+ years of Informatica or similar technology.Knowledge of Financial Services industry. PREFERRED QUALIFICATIONS:5+ years of work experience with ETL and Data Modeling on AWS Cloud Databases. Experience migrating on-premise data processing to AWS Cloud.Relevant AWS certification (AWS Certified Data Analytics, AWS Certified Database, etc.).Expertise in ETL optimization, designing, coding, and tuning big data processes using Informatica Data Management Cloud or similar technologies. Experience with building data pipelines and applications to stream and process datasets at low latencies.Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.Sound knowledge of data management and knows how to optimize the distribution, partitioning, and MPP of high-level data structures.Knowledge of Engineering and Operational Excellence using standard methodologies.
Financial Services Required Learning Courses:" UDAAP" The Gramm-Leach-Bliley Act
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