... 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 ...
... analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes - Design, develop, evaluate and deploy, innovative and highly scalable ML models - Work closely with software engineering ...
Enterprise Data & AI Solution ArchitectJob SummaryAs an Enterprise Data & AI Solution Architect within Darktrace's TechOps Centre, you will lead the design and evolution of enterprise data, analytics and AI solutions across Darktrace's Microsoft technology https://jobeax.com/link/8eCu4g68SO5sOI6t with business, data, technology, ...
... topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt or equivalent), not ...
... data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design, development, and validation of data science programming solutions for clinical trials. - Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and ...
... Intelligence dashboards that effectively communicate data insights to non-technical stakeholders.- Strong analytical mindset with the capability to synthesize disparate data points into a cohesive narrative that influences executive-level decision-making.- Excellent interpersonal skills, with a track record of collaborating effectively ...
... https://jobeax.com/link/nEC7Pw3JSppzjDvo RESPONSIBILITIES :- Build and scale robust time-series forecasting models for demand, sales and supply-chain metrics.- Clean, process and analyse large volumes of historical data from multiple sources.- Experiment with statistical and machine-learning algorithms to improve forecasting accuracy.- ...
... 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 ...
... evaluation materials. - Apply disciplined quality-control practices throughout the task creation and review process. Requirements - Professional experience in data entry, data validation, quality assurance, or a closely related field. - Experience working with high-accuracy or data-integrity-sensitive processes. - Strong ...
... 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, ...
... jobs and recurring data pipelines.- Implement data quality checks, control totals, exception handling, and reconciliation processes.- Work with stakeholders, data owners, and vendor teams to validate source data, file formats, mappings, and integration requirements.- Support SIT, UAT, production deployment, and data-output ...
... the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This is an opportunity to do career-defining work. As a Senior Data Analyst, you will play a crucial role in our data-driven decision-making process. You will be responsible for turning raw data into actionable insights that will ...
... translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). Experience with governed data environments ...
... - 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 - Quality Control - Evaluation Rubric Development - Process Discipline - Attention ...
... nearby. As a travel guidance company available in 43 markets and 22 languages, This client makes planning easy no matter the trip type. Utilize SQL and other data analysis tools to extract insights from large datasets and provide actionable recommendations to improve marketing campaign performance. Monitor and analyze the ...
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 ...
... Translate complex data into clear, structured outputs for non-technical stakeholders - Support monthly and periodic reporting cycles with dependable, decision-ready data - Monitor data quality across systems and proactively highlight risks or inconsistencies - Identify opportunities to streamline processes, reduce manual effort, ...
... 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 ...
... Python-based ETL tooling using Pandas, SQLAlchemy, and database drivers.- Work with YAML-driven configurations and integrate with APIs where required.- Own CI/CD processes using Git workflows.- Document data models, pipeline logic, data lineage, and operational processes.Must-Have Skills : - 6+ years of experience in Data Engineering.- ...