Role : Snowflake COE LeadLocation : Pune / Gurgaon / Bangalore / Hyderabad / ChennaiWork Mode : HybridAbout EXL : EXL is a global analytics and digital solutions company partnering with clients to deliver data-driven transformation and business outcomes. With strong capabilities in data engineering, advanced analytics, ...
... high-quality training datasets for AI models. The position requires managing teams of human annotators and coordinating with technical stakeholders to align data standards with project objectives. Key Responsibilities: Design and implement data annotation guidelines to maintain consistency and accuracy across datasets. ...
... https://jobeax.com/link/HLsikUBtnTuAcImv Certifications : - Databricks Data Engineer Professional or Databricks Machine Learning Professional.- AWS Certified Data Analytics, AWS Solutions Architect Associate, or AWS Solutions Architect Professional.- Relevant data governance, data management, product ownership, or agile ...
About the Role:Newton School of Technology is looking for a strong Software Engineer with deep expertise in Data Structures & Algorithms to join our Computer Science https://jobeax.com/link/GAQw2xZfHsdWGuLm ideal candidate will have strong problem-solving skills, experience with Competitive Programming, and a solid understanding ...
About the Role:Newton School of Technology is looking for a strong Software Engineer with deep expertise in Data Structures & Algorithms to join our Computer Science https://jobeax.com/link/GAQw2xZfHsdWGuLm ideal candidate will have strong problem-solving skills, experience with Competitive Programming, and a solid understanding ...
... Joiner required for the role of Data Engineer is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven https://jobeax.com/link/DYAPgQfCPcKBBBlq to the Senior Director of Data Platforms, this role ...
... Science, Engineering, or a related field. - Over 5 years of software development experience, with at least 2 years in a technical leadership role overseeing data engineering or data platform teams. - Strong proficiency in big data technologies, including Apache Spark/PySpark, Apache Airflow and Apache Kafka. - Experience ...
... FullStacks relies on its strong R&D heritage and ability to innovate. Hire FullStacks is now focusing on using emerging, disruptive technologies, like mobility, big data, cloud, and analytics, to provide powerful solutions and products for clients in a wide range of industries, including high-tech, e-commerce, finance, automobile, ...
... is based on several factors including but not limited to education, work experience, and certifications. FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including ...
... enterprise applications and data consumption.- Develop business logic, service models, validations, and custom handlers using SAP CAP.- Design and implement data models using CDS (Core Data Services).- Work with SAP HANA Cloud for database design, development, optimization, and data persistence.- Integrate SAP and non-SAP ...
... gathering data & performing data analysis to present a range of data-driven solutions and thereafter implementing those solutions. Promote optimizations using analytics tools and technologies. - Assistance in routine Business Data analysis and preparation of monthly performance reports (SBU / Finance) - Adhoc data analysis ...
... tasks to efficiently transfer flat files, logs, or unstructured formats into Azure Data Lake Storage (ADLS).- Write and tune high-performance SQL queries for data modeling, validation, data verification, and staging transformations.- Conduct data reconciliation and completeness checks to ensure zero loss across data pipelines ...
... https://jobeax.com/link/v8qrFLRTZgSSorDg Responsibilities :Data Engineering & Development :- Design and build data solutions using: Lakehouse, Warehouse, and OneLake in Fabric, Fabric Data Pipelines and Dataflows Gen2.- Develop and maintain scalable ETL/ELT pipelines using: Azure Data Factory, Azure Synapse Analytics, Azure Databricks.- Implement ...
... & Modernization and Practice Development : - Lead modernization strategies using AWS Transform.- Build reusable architecture blueprints and accelerators for data platforms, analytics, AI workloads, and enterprise applications.- Drive technical innovation across the practice.- Conduct architecture governance and risk reviews.- ...
... https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :1. Data Science Strategy & Leadership :- Define and execute the data science roadmap aligned with business objectives.- Lead multiple data science projects from problem definition through deployment and business adoption.- Identify high-impact opportunities where advanced analytics and machine learning ...
... Event-Driven Analytics: Design, develop, and maintain interactive Power BI dashboards focused on large-scale event analytics and operator activity tracking.- AI-Driven Data Analysis & Insights: Leverage AI tools and modern AI-assisted features (e.g., Copilot for Power BI, generative AI for data analysis) to accelerate insight generation, ...
... drives solutions. Career progression planning with dedicated time each month for learning and development. FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including ...
... team's capability to foster our "you build it, you run it" https://jobeax.com/link/ez4itv0T39YjSAnc Responsibilities : - Design and implement data processing in a big data environment.- Database design and management in a cloud environment.- Build and sustain the pipeline of data ingress, processing, and data distribution.- ...
... MS-Excel to accurately input and update data 2. Maintain and organize large databases to ensure data integrity 3. Collaborate with team members to streamline data entry processes 4. Perform regular quality checks to identify and correct errors 5. Generate reports and analyze data trends for decision-making purposes 6. Support ...