... build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop data integration, transformation, and processing workflows using Python and appropriate big data technologies. - Build, manage, ...
... build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop data integration, transformation, and processing workflows using Python and appropriate big data technologies. - Build, manage, ...
... data quality. 5. Work on data entry tasks to input and organize large volumes of data in databases and data warehouses. 6. Develop and implement strategies for data engineering processes to streamline data integration and transformation. 7. Stay updated on the latest trends and technologies in Big Data to continuously enhance ...
... maintain scalable big data pipelines and architectures to support robust data solutions.- Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.- Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.- ...
BigLaw Lawyer – Litigation, Corporate & M&A Location: Remote Job Type: Contractor Openings: 100 Compensation: $140–$400/hour About the Opportunity We’re looking for experienced U.S. lawyers with BigLaw backgrounds to apply their legal expertise to an AI-focused project. You’ll contribute to the development and evaluation ...
BigLaw Lawyer – Litigation, Corporate & M&A Location: Remote Job Type: Contractor Openings: 100 Compensation: $140–$400/hour About the Opportunity We’re looking for experienced U.S. lawyers with BigLaw backgrounds to apply their legal expertise to an AI-focused project. You’ll contribute to the development and evaluation ...
... year of working experience as Google Cloud Platform (GCP) developer. - Proven experience in building and maintaining a scalable Data Warehouse in a cloud-based data platform, preferably in Google's BigQuery. - Experience with the primary managed data services within GCP, including DataProc, Dataflow, BigQuery etc. - Proficiency ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... or Azure environments Python & scripting for automation and data processing Data streaming technologies (Kafka, Spark, Flink) Big Data platforms (Snowflake, Databricks, Hadoop, Teradata) Exposure to AI/ML and advanced analytics Experience with NoSQL databases Ability to design scalable and maintainable data architectures. ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... interface performance during hypercare. Data From Process to Data Lake Data Validation & Process Improvement Support automation of CSV-Data upload by validation and data quality checks Perform data validation and cross-checks to ensure data quality and consistency Validate raw data and transform structured data to Data Model as ...
... behavior. Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks. Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. Validate data quality, consistency, and correctness across datasets and experiments. Create clear, well-documented ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...
... processes. - Experience translating business requirements into features, user stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization ...
... Supporting ad-hoc data analysis and business reporting requests Validating data accuracy, consistency, and completeness Investigating data discrepancies and resolving data quality issues Preparing analytical summaries and presenting findings to stakeholders Collaborating with business and technical teams to understand data requirements ...
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives. Develop and 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, ...
... 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 ...
... drives / memory / transceivers and other hardware related tasks, as required by our server and network teams. Assisting with planning equipment moves or new data center build-outs. Coordinating the packing, shipping, and logistics of equipment to and from remote colocation sites. Maintaining data center documentation. ...