... 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 ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... 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. ...
... 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 ...
... 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 internship/project - Strong analytical and problem-solving ...
... data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience. Knowledge of Python programming for data analysis. Strong understanding of data science methodologies and analysis techniques. Fluent ...
... validate data from multiple sources Perform exploratory data analysis (EDA) Develop dashboards and reports using BI tools Interpret trends and patterns in complex datasets Present insights to stakeholders in a clear and actionable manner Write SQL queries to extract and manipulate data Automate data processes where possible ...
At LearnTastic, data is at the heart of every strategic decision. As a Data Analytics and Optimization Specialist , you will play a critical role in driving business growth by transforming data into actionable insights that enhance user experience, optimize digital performance, and improve conversion outcomes. You'll collaborate ...
... Perform QC checks and validation of reports and dashboards before client delivery, particularly during migration projects. Participate in regular client and internal meetings and prepare clear MoM (Minutes of Meeting) documentation. Maintain proper documentation for dashboards, metrics, data logic, business rules, and ...
... coaching, performance management, career development, and team engagement. Data Architecture: Deep understanding of modern data architecture patterns including Data Lakes, Data Warehouses, Lakehouses, and Data Mesh, combined with experience designing and delivering cloud-based data platforms. Cloud and Data Engineering: Strong ...
... 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 systems) and to perform ad hoc reporting and analysis, as needed, is a plus. - Communicating with Internal customers ...
... Perform QC checks and validation of reports and dashboards before client delivery, particularly during migration projects. Participate in regular client and internal meetings and prepare clear MoM (Minutes of Meeting) documentation. Maintain proper documentation for dashboards, metrics, data logic, business rules, and ...
... analytics platforms, and legacy ERP applications. Experience working with SAP functional modules such as FI/CO, MM, SD, PP, QM, PM, EWM/WM, IBP, and integration data integrity requirements. Experience in Medical Device, Pharmaceutical, Life Sciences, or other regulated global manufacturing industry strongly Experience in fast-paced ...
... transformations, and performance tuning. - Good experience with Python for data processing, automation, and Lambda development. - Strong understanding of data warehousing, data modeling, ETL/ELT, and data lake concepts. - Experience building and supporting production data pipelines. - Experience troubleshooting data and pipeline performance ...
... through peer reviews, 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 ...
... engineering best practices and scalable architectures. Experience with Apache Spark or PySpark. Knowledge of Docker, Kubernetes, and CI/CD pipelines. Experience with data governance and metadata management. Exposure to machine learning data pipelines is a plus. Bachelor's/Master's degree in Computer Science, IT, Engineering, or ...
... directly impact the profitability of the company Do you 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 ...
... companies. Job Title: Data Warehouse Engineer Workplace Type: Remote The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will ...
... data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. Overall 5+ years ...
... Implement 'Data SLAs.' You will build the monitoring and alerting systems that notify the team of data drift or pipeline failures before the business notices. Data Productization: Work closely with the BI team and Data Scientists to prepare 'feature-ready' datasets. Performance Tuning: Deep-dive into SQL and Spark query ...