... help create a unified understanding of engineering data. Your insights will support the development of a consistent governance framework and contribute to how data connects and supports the entire value chain. Lead mapping of engineering processes and associated data flows (cross-discipline, cross-system) Identify data sources, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... Responsibilities:Data Engineering & Development:- Design, develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, ...
... complex technical concepts clearly to both engineering audiences and executive stakeholders. Requirements - 8+ years of experience in Solutions Architecture, Data Engineering, software engineering, or related technical consulting roles. - Proven experience designing and delivering enterprise Data & AI solutions into production ...
... Personal Mastery Agility Passion for High Performance Key Skills - Essential Business intimacy with Finance & Commex Analytical thinking and problem solving Data visuali ion Data Modelling Agile Delivery Azure Experience Business Process Business partnering Program & Project Management Organizational awareness and knowledge ...
Company Description SEO Stack is a big data and AI-powered platform built to help digital marketers, SEO professionals, and agencies drive stronger organic growth and ROI. The product delivers full Google Search Console functionality in a standalone application, enhanced with AI to support implementation of changes and ...
... techniques, and perform data mining using state-of-the-art methods. Extend the company's data infrastructure with third-party sources of information and enhance data collection procedures to include all data relevant for building robust analytic systems. Data Quality Assurance: Analysis & Automation: Perform ad-hoc analysis, ...
The Finance Executive will be responsible for preparing and maintaining Finance MIS, monitoring commercial transactions, and conducting regular checks related to dealer's incentives, discounts, schemes, and other financial/commercial data. The role will ensure accuracy of financial information, identify discrepancies, and ...
... be working on developing ETL/ELT code using Python, Big Query, and GCP. You will work with a dedicated business, offshore development team and follow a Scrum process to develop SQL and Python code to get the data from different source systems and transform this data in a centralized Transformed Data Zone in a way that is ...
Working with data collected from market research surveys to provide a variety of output reports, using software products such as Quantum, SPSS, Dimensions Processing, formatting and presenting the data in accordance with global NIQ quality standards Prioritize, structure and deliver data processing (data table production, ...
... identification of resource requirements and identifies potential out of scope activities to Project Lead and management and assists with the Contract Modification process. - Assists with the administrative and financial management of allocated projects. Performs all assigned data management activities independently and efficiently, ...
... application prior to the Close Date What your main responsibilities are: Under moderate supervision conducts detailed commercial analysis, designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, and analysis to enable informed business decisions. Gains insight into ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks ...
... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...
... concepts to non-technical stakeholders. - Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Amazon Athena - Experience with data visualization tools (e. g., Tableau, Power BI). - Knowledge of data warehousing concepts and experience working with large datasets. - Deploying analytical solutions ...
... analytics or data science, preferably in retail, eCommerce or consumer internet Technical Skills:SQL: Expert in querying and transforming large-scale structured data. Python: Skilled in data analysis, modeling, and automation (pandas, NumPy, scikit-learn, statsmodels, etc.). Big Data Tools: Familiarity with Hive, Spark Visualization: ...
... 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 and @talent.nttdataservices.com email addresses. If you are requested ...
... server-side applications using Java, Scala, and Spring Boot.- Design and implement message-driven architectures using Kafka or MQ.- Build scalable and reliable data processing and integration solutions.- Deploy and manage applications using Kubernetes.- Write and optimize complex SQL/database queries.- Develop automation ...
... Data Research Analyst, you will dig into large datasets to answer open questions, validate hypotheses, and turn raw numbers into clear, decision-ready findings. Data Analysis Query, clean, and analyse large datasets to answer research questions Build metrics, cohorts, and segments from product and business data Run exploratory ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...