... and convenience in a seamless digital experience. Collaboration with Data Engineering Team Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing Collaborate in designing and optimizing data pipelines for seamless data movement Work jointly on data architecture decisions ...
... Shell Scripting. Strong analytical skills for data engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. ...
... business, reporting, analytics, and application teams to understand data requirements and provide appropriate solutions. Follow data security, governance, and engineering best practices. Participate in code reviews and help improve development standards across the team. 7+ years of experience in Data Engineering, Data Warehousing, ...
Senior Data Engineer – Graph Database & Data Intelligence Position: Senior Data Engineer Experience Required: 6+ Years Location: Remote Employment Type: Contract We are seeking a highly skilled Senior Data Engineer with expertise in Graph Databases, Data Modeling, and modern backend frameworks. The ideal candidate should ...
... 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 ...
... raw, into high-fidelity data products. You will take the Architect's blueprints and turn them into production-grade code, ensuring there is clean and reliable data. Remote What The Senior Data Engineer Will Own Pipeline Engineering: Build and maintain high-throughput ETL/ELT pipelines that ingest data from various sources ...
... the design and implementation of scalable, high-quality data pipelines and cloud data platforms using AWS and Snowflake, while partnering with the Principal Data Engineer to maintain strong technical architecture and engineering standards. Engineering Excellence: Drive adoption of modern data engineering practices, including ...
... 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 ...
... documenting trade-offs, compute boundaries, and long-term implications. Core Technical Qualifications: • 8+ Years in Platform Architecture / Infrastructure Engineering: Proven track record of designing and deploying production-grade, open-standard Data Platforms from scratch. • Open Table Formats & Decoupled Storage: Deep ...
... 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 skills - Proficiency in Microsoft Excel or similar spreadsheet tools - Good ...
... optimize Python-based 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 ...
... 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 ...
... validate, and maintain event tracking, conversion tracking, and analytics frameworks to ensure data accuracy and consistency. - Partner with Marketing, Product, Engineering, and leadership teams to translate data into strategic recommendations and measurable business outcomes. - Ensure data quality through validation, troubleshooting, ...
... DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics ...
... 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 ...
... DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics ...
... Information Technology, Data Management, Engineering, Business Administration, Supply Chain, Finance, or related field. Certification in SAP, SAP MDG, Syniti, Data Governance, or equivalent preferred. Experience Must have 12–15+ years of overall experience in Data Management, ERP, SAP, Data Governance, Data Quality, or Enterprise ...
... deploy real-time decisioning rules and ML systems to detect synthetic fraud, digital identity theft, account takeovers, and transactional fraud. - Feature Engineering: Mine complex, large-scale, and alternative data streams (bank transactional data, logs, credit bureau reports, structured/unstructured digital signals) ...
... closely with business partners to identify problems and propose machine learning solutions - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance - Work proactively with engineering teams and product managers to evangelize new algorithms ...