... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, reporting, ...
... technical teams. - Technical Skills: - Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). - Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. - Hands-on experience with cloud data platforms (e.g., ...
... Data Engineer, ideally within the UK financial services or pensions administration sector. - Proven experience designing and delivering large scale, cloud based data platforms (AWS, Azure, or GCP) using Databricks.- Strong knowledge of data modelling techniques, with expert proficiency in both relational and NoSQL databases. ...
Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying...
Summary #LI-Hybrid Location: Hyderabad Are you ready to shape the future of data engineering in life sciences? As a Data Engineer Manager, you’ll lead the data engineering team and support the data science and/or reporting & analytics team inbuilding scalable...
Hybrid work
Work at office
3 days week
... high impact projects by collaborating with Engineering, Product Management and Design, Data Engineering and Research and Insights teams. Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team - Experience applying your Data ...
... data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. - Partner across product, engineering, business, and customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous ...
... and classification Drive adoption of our Data Cataloguing and Data Quality Platform while managing data access requests and agreements Ensure compliance with Data Golden Rules through enforcement mechanisms and ongoing monitoring Data Governance — developing level; establishing policies that ensure data integrity and regulatory ...
... legacies for future generations. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other ...
Job Description Job Title – Lead QA Engineer This is a challenging opportunity for a tech savvy associate to play a pivotal role in solving complex business challenges using technology in the Financial Services domain. The Purpose of This Role The FFIO (Fidelity Fund and Investment Operation) Technology teams manage applications ...
... maintain data models - Perform data analysis activities to capture data requirements and represent them in data model visualizations - Manage the life cycle of the data model from requirements to design to implementation to maintenance - Work closely with data engineers to create optimal physical data models - Identify areas ...
... incomplete, and real-time industrial data to derive meaningful insights - Collaborate closely with domain experts (e.g., operations, reliability, or plant engineers) to create context-aware AI solutions - Demonstrate innovative thinking in solving ambiguous problems where standard approaches may not apply Key Responsibilities ...
... requirements - Present findings to stakeholders in a clear and concise manner - Ensure data accuracy, integrity, and consistency - Support business decisions through data-driven recommendations Key Requirements : - Education : Bachelors degree in business, Economics, Engineering, Statistics, or related field. Masters degree/MBA ...
... turning raw data into accurate, timely, and trusted intelligence that drive decisions at the executive and departmental level. You will work closely with our Data Engineers, DIM Team Lead, and business partners to build dashboards, define KPIs, and maintain rigorous data quality. This role is critical to the integrity and ...
... proper documentation and approvals. Collaborate with business teams on data governance and compliance initiatives. Identify and implement best practices for data ingestion, data design, and data quality improvement. Develop queries for profiling data, validating analyses, testing assumptions, and driving data quality assessment. ...
... identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and ...