... using Azure Databricks, PySpark, and Spark SQL.- Design and implement data lakes using Azure Data Lake Storage Gen2 (ADLS).- Develop and maintain cloud-based data warehouse solutions using Azure Synapse Analytics.- Create and optimize SQL queries, stored procedures, and database objects.- Work with structured, semi-structured, ...
... Playbooks, workflows, UAT, and routine platform configuration. - Use SQL for data analysis, validation, and troubleshooting. - Gather business requirements and work with CSMs and stakeholders on platform needs. - Manage Jira tickets and maintain Confluence documentation. - Support data quality, process improvement, and platform ...
... "is this number correct." You'll own quality for our reporting dashboards, data pipelines, and analytics tools end to end: designing test strategy, validating data accuracy across sources and ETL processes, and catching the kind of subtle data issue that a functional test would sail right past. You'll work closely with data ...
... following software design, development, testing and documentation best practices.- Extract and parse data from online and local data sources; Clean up data, audit data for accuracy, consistency and completeness.- Apply analytics and artificial intelligence techniques and extract valuable and actionable insights. Data processing ...
... with REST ASSURE Other Requirements: 1. Must be ready to work in Global Village or Embassy Golf Link 2. Must Possess very Good Communication 3. Must be ready to work from office - GV in 10:30 AM to 8:30 PM Shift 4. Must be a quick learner About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving ...
... configuration changes through development, QA, UAT, and Production environments Ensure data integrity and quality through rigorous validation techniques Work with modern data platforms including SQL Server and Databricks Quality Assurance & Testing Create test data and develop test cases for accounting and financial workflows Document ...
... scalability, and business value. Work with structured and unstructured datasets to prepare data for AI model training, validation, and inference. Design and optimize data pipelines supporting AI and machine learning workflows. Perform feature engineering, data transformation, cleansing, and validation activities. Utilize Python, ...
... Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : SAP BW/4HANA Data Modeling & Development ...
... cross-functional teams. Application Development: – Design, develop, and maintain high-quality Python-based applications. – Data Processing and Analysis: - Work with large datasets and perform data analysis using Python libraries. - Develop scripts for data extraction, transformation, and loading (ETL) processes. - Implement data visualization ...
... technology, scale, and convenience in a seamless digital experience. Excellent work environment - rated amongst LinkedIn's - 'Top Companies Where India wants to work now' list Market-leading compensation and benefits Creative and structured thinking to solve real-world problem Work with large, complex data sets to solve business ...
... documentation, and patterns the team follows.- Build and evolve Databricks dashboards and semantic metrics for self-service across the business.- Partner with data engineering, analytics engineering, and analytics stakeholders to turn messy business problems into durable data products.- Drive AI-native workflows: Cursor/Claude ...
... deploy code in a distributed Service-Oriented Architecture Alter existing and develop new data access and protection patterns to ensure our community's personal data is safe and secure, at scale 5-9+ years of industry experience - Backend or Full-Stack experience in a work-setting or classroom-setting. - Work experience, open-source ...
... integrations, e.g. HubSpot, CMS driven products - Proficiency in data analysis with Salesforce analytics/reporting tools - Experience in requirements gathering, data analysis, gap analysis and project management What we offer: Fully remote work Flexible working hours Friendly multinational team Long-term engagement Exciting ...
... Our solutions are used by the biggest names in tech. We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs. Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics. We're looking for ...
... prior working experience in data analysis fields - Strong analytical ability, proficiency with SQL (minimum of 3 years advanced SQL) and strong understanding of data relationships - Experience working with extremely large datasets - Outstanding communication skills - Expertise working cross-functionally to drive business and ...
... ingest new datasets onto the firm's data platform as demand arises from the investment and analyst teams. Automation — Automate ingestion, transformation, and data-quality workflows to reduce manual effort and speed up onboarding of new sources. Data platform — Structure and organize datasets so they can be integrated, joined, ...
... needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible ...
... with proficiency in multiple development methodologies (such as Agile and Waterfall). Strong skills in data manipulation and optimization, with experience in data modeling (normalized/dimensional) and various data storage systems. Expertise in Java 11+, Spring Boot/Rest API, and Angular 12+ (or similar frameworks), with ...
... experience in machine learning, spanning both classical ML and GenAI application work.- Strong Python skills and experience with standard ML/deep learning frameworks.- Practical experience with LLM tooling, prompt engineering, and RAG-based architectures.- Experience working with pharma, healthcare, or life sciences data.- ...