... Consent Vendor Risk Execute end to end DSR DSAR workflows and privacy operations Perform data discovery classification and scanning using BigID Build and maintain data inventory catalog and lineage Identify sensitive data and risks PII overexposure dark data Support RoPA DPIA and regulatory compliance initiatives Configure workflows ...
... driven to deliver high quality data solutions that enable better decision making across the organization. This Data Engineer role will design, build, and maintain data pipelines and integrations across multiple source systems in a global environment. They develop ETL processes and APIs, manage data warehouse schemas, and ensure ...
... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...
... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...
... Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ ...
... degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Relevant work experience in data engineering based on the following number of years: Fluency in English Planning & Organizing Skills Data Modeling and Database Design ETL (Extract, Transform, ...
... demonstrate hybrid Data Scientist capabilities alongside the ability to design, develop and deliver applications that provide business insights. GCIO & GCOO Data is a global team within CTO Data that delivers data governance, data management, MI / reporting and analytics for key Businesses and Group Organizational infrastructure ...
... requirements. Data Consultant : As a Data Consultant for the Data and Analytics team, you will work within a Professional Services team to support our customer's data platform on GW Cloud. You will also support the development of new tooling and methodology to streamline our data processes. Given the dynamic nature of the work ...
We are looking for a Big Data Architect with experience designing scalable data solutions using Agile/SAFe practices, data mesh architecture, real-time streaming, cloud platforms, and modern data engineering technologies. The candidate should have a strong DataOps mindset and the ability to design solutions for testability, ...
We are looking for a skilled Data Engineer with strong experience in Python and AWS cloud technologies. The ideal candidate should have hands-on knowledge of building automation frameworks, managing test scripts, and working with various AWS services. This role requires good technical understanding, strong problem-solving ...
... https://jobeax.com/link/Dt0HlcGS2dYWmJNd Responsibilities :- Design and implement end-to-end data ingestion and transformation pipelines using Azure Data Factory to ensure seamless data flow across the enterprise.- Develop high-performance data processing solutions using PySpark and Databricks to handle large-scale datasets and complex analytical ...
... data reports, dashboards, and visualizations to support strategic insights. Reporting Environment Management: Design and maintain reporting systems including data sources, metadata, and security. Data Warehouse Support: Identify, revise, and implement reporting requirements to enhance data warehouse efficiency. Data Integrity ...
... (e.g. Atlan, Collibra, Purview, Databricks Unity) is essential.- Prior knowledge in the following tools, including Power BI, Atlan, Monte Carlo, Snowflake, and Databricks.- Proficiency in the use of the Microsoft Office suite including Excel, Project, Visio, Word & PowerPoint.- Bachelors degree in Computer Science, Information ...
... Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets. - Bachelor’s degree in Data Science, Computer Science or similar. - Experience with Google Cloud Platform is a plus. - A Bachelor’s degree in Computer Science, Computer Engineering, or related ...
... learning and statistical modeling to improve decision-making and automate business processes. Data, Tools & Technical Leadership - Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake. - Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights. - ...
... evaluate AI solutions using real-world enterprise datasets. What you'll bring Required Qualifications - 7+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...
... compliance. Database & Data Platform Support - Support Oracle databases and enterprise SQL environments. - Perform performance analysis, query optimization, database monitoring, and troubleshooting. - Coordinate with application and data engineering teams during releases and migrations. Middleware & File Transfer Services ...
... troubleshooting with IT/security teams. Required Skills and Experience Foundational experience in data engineering, data pipelines, ETL/ELT, data transformation, or cloud data platforms. Working knowledge of SQL and Python exposure to Spark, notebooks, or distributed data processing is preferred. Basic understanding of data modeling, ...