... pipelines for enterprise data platforms, ensuring data quality, integrity, and security. Implement data engineering solutions utilizing Microsoft Fabric, Azure Data Factory, Databricks, PySpark, Spark SQL, and Python to process structured, semi-structured, and unstructured data. Build data pipelines that integrate data from ...
... 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 ...
... development of AI and machine learning solutions, including data preparation, model training, fine-tuning, and deployment strategies. Design and implement scalable data pipelines to curate, cleanse, and prepare structured and unstructured data for machine learning and foundation model training. Build and optimize complex agentic ...
... applications.- Collaborate with engineering teams to perform data modeling and schema design, ensuring efficient storage and retrieval in NoSQL and relational databases.- Monitor and troubleshoot production data workflows to identify bottlenecks and improve the overall performance of Big Data clusters.- Automate data infrastructure ...
Purpose of the role Build and maintain all data pipelines feeding the Databricks lakehouse, ensuring clean, timely, and governed data flows from every source across the Investment Division’s five portfolio clusters and, in later phases, the Group’s operating divisions. Own the bronze-to-silver-to-gold transformation logic, ...
... retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY's Consulting Practice, Data and Analytics team solves big, complex issues and capitalise on opportunities to deliver better working outcomes that help expand and safeguard the businesses, ...
... short-term delivery with long-term platform https://jobeax.com/link/AhyMLjKcNtb7KKMK Requirements :- 10+ years in software architecture.- 5+ years in deep learning/data engineering.- Strong Python + backend engineering.- Scala/Kotlin/Rust desirable.- Expertise in distributed systems, algorithms, big data frameworks.- Proven leadership ...
... facilitation skills, with the ability to influence and align both technical and non-technical stakeholders, including senior leadership.- Comfort operating in ambiguous, fast-paced environments with competing priorities.- Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive https://jobeax.com/link/f0iUPLbxaSBDuB5I ...
... for an experienced Lead Data Scientist / Technical Lead to lead a pod of Data Scientists and drive the end-to-end development and deployment of accelerator-led Data Science and AI solutions for enterprise https://jobeax.com/link/DNEKcQG1q3IBOBjj is a deeply technical role involving hands-on Data Science, technical leadership, ...
... reasoning models autonomous agents) for HR use cases. https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS in Computer Science Data Science AI or related field Relevant years of experience in Data Science / AI / ML roles Experience in Gen AI Agentic AI will be preferred Relevant years of experience ...
... self-serve to highly specialised market research use cases. The market research team works on developing large-scale web applications, state-of-the-art tech platforms, big data analytics, and mobile applications. Developing solutions and building flexible systems that balance engineering complexity and timely delivery, creating ...
... Business Intelligence team builds on top of a data platform that has to be there every morning - healthy, current, and trusted. Making that happen takes a core data engineer who owns the operational reliability of our platform end-to-end. This is a core data engineering role. You own the operational health of our data platform, ...
... (dashboard creation, data modeling, DAX/Calculated Fields). - Solid understanding of SQL for data extraction and manipulation. - Experience working with relational databases (e.g., MySQL, PostgreSQL, BigQuery). - Strong understanding of data visualization best practices and storytelling with data. - Experience in cleaning, transforming, ...
... flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their ...
... professional onboarding program, and internal courses and training that keep our biggest asset – you – developed for the long-run. Department: Engineering Model Data & Experience As a Senior Data Analyst, you will play a key role in the EMT initiatives, helping transform how engineering data is interpreted and used across ...
... optimization and performance tuning experience Data Engineering: Experience with data orchestration platforms (Airflow, Azure Data Factory, SSIS, or similar) Big Data: Familiarity with Apache Spark, PySpark, or similar distributed processing frameworks Cloud Platforms: Hands-on experience with Azure, AWS, or GCP data services ...
... on generative AI solutions. - Strong understanding of machine learning algorithms and deep learning frameworks. - Experience with cloud computing platforms and big data technologies. - Bachelors in engineering, preferably from Tier-I institute. - Excellent communication and leadership skills, with the ability to manage and ...
... with significant exposure to eCommerce, digital marketing, loyalty programs, or omnichannel retail. - Expert SQL skills and significant experience with large datasets in Snowflake, Databricks, or similar platforms. - Strong proficiency in Python (pandas, scikit-learn, stats models) for modeling, feature engineering, and ...
We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you'll work across the entire data science lifecycle from exploratory analysis and statistical modelling to deploying ...