... retrieval Contribute to the DataOps framework, automating data processes and enhancing data quality Implement monitoring and alerting systems to ensure smooth data operations Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or a related quantitative field - 2–4 years of analytics, data science, or related ...
... Bachelor's degree in computer science or a related field with 5+ years of experience in ETL development or similar roles. Proven expertise in managing large data volumes and working with diverse data sources. Strong analytical skills with a track record of success in enterprise applications or integration projects. Hands-on ...
... degree in Analytics, Computer Science, Marketing, Business, or a related field. Preferred Skills: - Experience with Heap, Amplitude, Mixpanel, or other product analytics platforms. - Experience analyzing backend/product event data and customer lifecycle metrics. - Experience with cloud data warehouses such as BigQuery, Snowflake, ...
... to work with real-world datasets and contribute analysis that supports business strategy and operational decision-making. Requirements - Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related field - 0-2 years of experience in data analysis or a relevant ...
... reusable tooling, and pro-active communication to risk leadership and partners. in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science) or equivalent practical experience. - Experience: 2–4 years of Data Science experience, ideally including 3+ years focused on Credit Risk, Fraud Analytics, ...
... datasets. Work with PostgreSQL databases for structured data management and optimization. Develop APIs and backend services using FastAPI. Integrate multiple data sources and ensure data consistency and quality. Collaborate with cross-functional teams for analytics, reporting, and business intelligence solutions. Optimize ...
... data health, usage, reliability, and platform cost https://jobeax.com/link/KCHJgtvBKt4TmRKa And Experience : - Education : Bachelor's or higher in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or related field.- Experience : 8+ years in data engineering, data management, AI data foundations, ...
... systems is a plus.- Highly motivated, results-oriented and a fast learner with excellent analytical and problem solving skills.- Previous experience in BI, analytics, data management or data engineering is a plus.- Understanding of data flows and basics of data modelling principles.- Fluent in written and spoken English. ...
... ingestion pipelines (Azure Data Factory or Fabric Pipelines) from various sources.- Data Transformation & Modeling: Implement data transformations using Fabric Dataflows Gen2, Spark SQL, and Python.- OneLake & Data Warehouse Management: Manage storage in OneLake, build SQL analytics endpoints, and optimize data warehousing.- ...
... Science, Information Systems, Software Engineering, Data Science, or related technical field - 8+ years of experience in solution architecture, data engineering, data science, or related technical roles - 3+ years of hands-on experience designing and implementing enterprise-grade data science and analytics solutions - Proven ...
... (Integration) Reports To: Engineering Manager Integration Description Identifying and implementing opportunities for efficient process engineering utilizing data, modeling and applying Industry4.0/ Advanced analytics concepts for improving Yield, Wattage and process control Education and Experience Bachelor's degree in ...
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better ...
... data governance from Day 1, integrating open-source catalogs (Apache Polaris, Glue) with column-level security, PII discovery, and automated audit trails. • Data Quality Frameworks: Design multi-layer, config-driven data quality gates that execute inline in-memory and trigger automated pipeline halts before bad data propagates. ...
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 ...
... delivery, automation, testing, data quality, governance, security, and cost-efficient cloud resource management. Data Platform Optimization: Continuously improve data flows, pipelines, and platform capabilities to support business analytics, personalization, and advanced data products while maintaining reliability and scalability. ...
... Point - Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality - Basic data handling and Data interpretation skills - Should be comfortable with 24x7 rotational shifts - Ability to pull data from numerous databases (using Excel and other data management ...
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 ...
... readiness in a medical device environment. Guide SAP functional teams, data migration teams, integration teams, analytics teams, and business data stewards on master data standards, data models, dependencies, interfaces, and quality controls. Drive integration and enterprise data alignment: Ensure master data is consistently integrated ...
... Lambda . Write and optimize complex SQL queries for data transformation, reporting, reconciliation, and analysis. Work with data from APIs, SaaS applications, databases, flat files, and other enterprise sources. Design data models and structures to support reporting and analytics requirements. Implement data quality checks, ...
... like to innovate and simplify If yes, then you may be a great fit to join the Machine Learning team for International Consumer Businesses. Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce ...