116 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.                                                            ...

About Company It is a global consulting company offering solutions, services and platforms on Open Source, Cloud and Automation technologies. Since 2000, It has been delivering enterprise class solutions, which are built using leading platforms & can easily be integrated with existing systems to achieve unparalleled results.    Job Details:   Role: Lead Data EngineerLocation: Bangalore (Hybrid ...

We are seeking an Senior Big Data Engineers to join our team immediately who can design, develop, maintain, and implement large-scale data processing systems for the Sherlock platform. In this role, you will work closely with cross-functional teams such as data scientists, software engineers, business analysts, and product managers to ...

  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 ...

Experience in data engineering and Azure data services. Proficiency in coding and building ETL pipelines in Synapse, Azure Data Factory, and Spark. Experience with APIM/API, Dataverse, Logic Apps, Function Apps, SQL, Python, and C#. Proficiency in writing notebooks in Python and/or PySpark. Proficiency in using Azure DevOps or Similar tools for managing work backlogs Experience ...