... Science, Physics, Mathematics, Data Science, or a comparable quantitative field. Experience: At least 3 years of proven professional experience in cloud-native data engineering, demonstrating the ability to handle complex architectures and enterprise reporting structures independently. Technical SkillsCore Data Engineering: ...
... Design statistical forecasting and optimization models to support business planning and decision-making. Ingest and process large volumes of data from APIs, databases, and structured/unstructured sources. Perform data transformation, feature engineering, and advanced analytics using PySpark and SQL on Databricks. Leverage ...
... Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role , not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic ...
... Microsoft SQL Server Administration. Strong knowledge of database performance tuning and query optimization techniques. Experience in troubleshooting complex database issues and providing timely resolutions. Familiarity with backup, recovery, and disaster recovery strategies for database systems. Ability to analyze system ...
... grow a team of data engineers; conduct code reviews, provide technical guidance, and support career development.- Collaborate with stakeholders, product owners, data scientists, and analysts to understand data needs and translate them into engineering solutions.- Build and maintain Power BI data models, semantic layers, and ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...
... modular Python code, reusable analytic functions, and maintainable data pipelines. - Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to ...
... to solve complex problems in credit risk, fraud detection, and personalized financial services. You will collaborate closely with product managers, software engineers, and business stakeholders to translate ambiguous financial data into scalable, production-grade models. By deploying high-impact algorithms, you will directly ...
... 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, ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... security. Debug and troubleshoot issues to ensure smooth application functionality. Participate in code reviews and contribute to team knowledge sharing. Work with databases such as MsSQL, MySQL, or PostgreSQL. Implement security and data protection best practices. Qualifications - 6–8 years of experience in backend development ...
... improvements, execution stability, and test strategy. Take ownership of test automation frameworks, including reusable libraries, framework architecture, test data, reporting, test execution reliability, and maintainability. Partner with software engineers, product managers, and quality leadership to define testable requirements, ...
... governments realize their greatest potential. Title And Summary Senior Software Engineer Experience Minimum 8+ years of hands-on experience in UI / Frontend engineering, building scalable, high-performance, enterprise-grade applications. Role Overview We're looking for a senior UI engineer who can own frontend delivery end-to-end, ...
Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : SAP ...
... and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering to ...
... Data Analysis and Engineering - Develop and optimise data models to support analytical requirements. - Conduct ETL processes to extract, transform, and load data efficiently into Google BigQuery. - Utilise Pandas for data manipulation, ensuring cleanliness and reliability of datasets. - Create efficient queries to retrieve ...
... intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. The entry of required data, as specified in the applicable detailed entry and category guidelines provided. General data entry guidelines that define how different fields are to be recorded ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... evaluation, and deployment. Explore and implement LLM and agentic AI applications to drive innovation in customer experience and workforce productivity. Partner with data engineering teams to build robust data pipelines and ensure model reliability in production. Mentor and guide junior data scientists/analysts, providing code ...
... frameworks, evaluate marketing effectiveness, and translate complex statistical methodologies into actionable business recommendations. You will work closely with data scientists, engineers, and business stakeholders to build scalable, interpretable, and production-ready solutions. What You'll D oDesign and build Bayesian Marketing ...