... Java/Spring Boot services that acquire, normalize, and deliver telemetry and retention data from complex enterprise and third-party systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... AI-ready enterprise data products within Microsoft Fabric.- Define architectures for data ingestion, transformation, lakehouse, warehousing, semantic modelling, analytics and self-service reporting using Microsoft Fabric and Power BI.- Establish data governance, metadata, lineage, classification, data quality and information ...
... enforcement problem or a pricing problem, and defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at scale - Solid classical ML foundations — clustering ...
... Extensive experience in clinical data programming, with proficiency in SAS, R, or other relevant programming languages. - In-depth knowledge of clinical trial data structures, CDISC standards (SDTM, ADaM), and regulatory requirements. - Strong analytical and problem-solving skills, with a focus on data accuracy and quality. ...
... through data-backed https://jobeax.com/link/1GRkeqsx7iRFVaFD Responsibilities : - Architect and maintain complex SQL queries to extract, clean, and transform large datasets, ensuring stakeholders have access to reliable and timely information.- Design and deploy interactive analytics dashboards that visualize key performance ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to ...
... highly accurate data entry and data validation professionals to contribute to a project focused on evaluating and improving AI systems. You’ll create realistic data-entry and validation scenarios involving complex datasets, identify and document errors, define correct outcomes, and develop detailed evaluation criteria. The ...
... pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, ...
Job Summary :The Data Integration Engineer will design, develop, and support data integration solutions that extract financial and operational data from enterprise source systems and deliver trusted data to analytics platforms and external vendors. The role emphasizes source-to-target mapping, transformation, validation, ...
... Data Analyst or in a similar role, with a focus on product analytics. - 3-5 years of experience. - Expert-level proficiency in SQL. - Strong experience with data visualization tools, particularly Tableau. - Hands-on experience with cloud data warehouses like Snowflake and data transformation tools like dbt. - Proficiency ...
Education Role description ~ Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Business Analytics, or a relevant field. Required Experience 3+ years of experience in a Data Analyst, Business Analyst, BI Analyst, or similar role. Professional experience working with life science domain Demonstrated ...
... operations - Legal operations - Other compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset Curation - CSV & Spreadsheet Validation - PDF Data Review - Document Validation ...
... by: Kaamwork) (*Note: This is a requirement for one of Uplers' client - A globally renowned vacation planning company from the US) statical methods, metrics, Analytical, Data Analysis, Marketing Concepts, Problem Solving Attitude, Python, SQL, Tableau A globally renowned vacation planning company from the US is Looking for: ...
Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...
... Ensure confidentiality and compliance with internal controls and data governance standards Desired Skills & Experience - Bachelor's degree in Finance, Business, Data Analytics, Mathematics, Commerce, or a related field - Strong data validation skills with a meticulous approach to checking and verifying information - High proficiency ...
... Scikit-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, and cloud data platforms. Strong ...
... production data pipelines powering analytics and business https://jobeax.com/link/31g3t2QRSRYuSEHD ideal candidate should have strong experience in transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 ...