... transnational education in India by helping leading global universities establish joint campuses under the evolving Indian regulatory framework. As a Senior Data Analyst at Emeritus, you will serve as a thought leader, architecting data solutions that directly drive strategic decisions across the business. This is a highly ...
Skill required: Supply Chain - Supply Chain Execution Designation: Business Advisory Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and https://jobeax.com/link/s3Tm4mZwkevmZ2jR unmatched ...
About the Role : We are looking for a Business Analyst with strong experience in UAT and financial reporting to lead business testing for financial reporting projects and system changes. The role will involve working closely with Finance, Reporting, Data, Change, and Technology teams to ensure solutions meet business requirements, ...
... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...
Data Engineering at Blackbaud is responsible for ingestion, transformation and processing of data that powers Blackbaud Data Intelligence and Advanced analytics products. The data managed by the team supports data science, data enrichment, research and data analysis as well as making data operationally able to be consumed ...
... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... 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 ...
... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...
... real-world projects. Opportunity to learn from experienced professionals and enhance your marketing skills. Contribute to exciting initiatives and make an impact from day one. Competitive stipend and potential for growth within the company. Recognized for excellence in data and AI solutions with industry awards and accolades.
... cloud-native services. Provide technical leadership and hands-on guidance to engineering teams, ensuring solution quality, scalability, security, and operational excellence. Establish best practices in data engineering, including coding standards, performance optimization, security, and reliability. Mentor and develop engineering ...
... AI-first data strategy at scale across 120M+ customer interactions. Databricks Apps & Self-Serve AI Develop and deploy internal AI-powered applications using Databricks Apps — enabling business users to interact with ML models, RAG systems, and analytics agents through governed, self-serve interfaces. Integrate Databricks ...
... analytics - Good programming skill in Python/scala or any scripting language - Good knowledge of SQL is a required - Basic knowledge and understanding of big data - Experience in Azure - Excellent written and oral communication skills in English language is a must We value diversity, equity, inclusion, and belonging (DEIB) ...
... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...
... maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with cross-functional teams to translate business needs into efficient data models. ...
... monitoring and drive change in the organization.- Own production reliability and performance; drive incidents to root cause.- Mentor and review the work of the junior Data Engineer.- Partner with Data Scientist, AI Engineers and Business Analyst and support them with data.- Handle real-time and batch data https://jobeax.com/link/azWbZnxGZ1bWkVxQ ...
... company has a strong global network to serve vehicle manufacturers in key markets worldwide. This is a full-time on-site role for a Senior Financial Planning Analyst based in Chennai. The role involves leading financial planning and analysis functions, including budgeting, forecasting, and financial modeling. The candidate ...
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...