109 Job openings found

Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions.   Research and stay abreast of state-of-the-art machine learning technologies.   Follow code standards and best practices.  ...

Key Responsibilities: Design, architect, and engineer big data solutions Develop a modern data analytics lake house Propose and standardize ELT, BI, AI, governance, and analytics Publish enterprise ingress, development, transform, egress, consumption guidelines Instrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes. Implement continuous integration, continuous deployment, DevOPs practice Create, ...

Required Skills: Spark  Scala/Python Programming, Big Data[Hive] Roles & Responsibilities: Design and develop data applications using selected tools and frameworks as required and requested. Working on disparate data sets. Process unstructured data into a form suitable for analysis. Monitoring data performance and modifying infrastructure as needed.   What we are looking for- Strong coding skills in (Scala or ...

Project Role : Application Developer  Project Role Description : Design, build and configure applications to meet business process and application requirements.                                                            ...

  Job Description – Data Modeler Architect Requirements:• 5+ years of experience implementing large data and analytics platforms.• Data Platform: Experience working in Data warehouse, Data Lake, and Spark Lakehouse environments to supportlarge-scale analytic applications.• Data Modeling: Extensive experience in designing Star and Snowflake schema models. Proficient in logisticsindustry operations.• ETL: Understanding ...

Requirements: 12 to 15 years of experience in developing platforms in the Data engineering space. Minimum of 4-5 years of experience in managing Data Engineering teams. Hands-on experience with SQL, ETL pipelines, Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion ...

Role Overview In this role, you will leverage your strong data analysis and modeling skills to build dataproducts that offer our clients valuable insights into their performance and the competitivelandscape. You will work with diverse 1st and 3rd party data sources-including email receiptdata, clickstream data, web scraped data, and more-to develop ...

Job Description: We are seeking an experienced Azure Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and managing ETL processes and data pipelines on the Microsoft Azure platform. Proficiency in Azure Data Factory (ADF), PySpark, and CI/CD pipelines is essential. The role ...

Position- ML Engineer Role & responsibilities-Requirements and Responsibility? Participate in discovery processes collaborating with key stakeholders to identify businessrequirements and expected outcomes.? Develop Neural Network models for information extraction from mortgage documentsusing Computer Vision and NLP techniques.? Deliver high-quality software based on best practices for data collection, modeling, andsoftware development? Design ...

  Please find the details below   Position : RTS Engineer Location : UAE  Experience requirement : 4+ Years Joining Date : Immediate to 30 days      Job Description   4 to 5 years of experience in software development using Java (Core Java, preferably microservices domain) Good at software engineering SDLC process Exposure to kafka backend with events processing experience Exposure in using CI/CD Exposure to any streaming frameworks ...