43 Job openings found

Principal Accountabilities and Responsibilities The candidate is expected to perform basic data ETL (Extract-Transform-Load) tasks – starting with extraction of datafrom the source systems, cleaning it, handling exceptions and finally prepare them to feed into various systems/toolsdepending on the projects/PODs/delivery channels. Testing and validation of data models/data tables/data assets The ...

  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 ...

  Experience Range: 5 to 12 yrs (min 4 years relevant) Responsibilities: Enable Model tracking, model experimentation, Model automation Develop ML pipelines to support  Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS. Work ...

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 ...

Data Analyst having - 7+ years of experience Unstructured problem-solving mindset. Willing to work in US Shift. (2 – 11 PM). SQL (strong) Banking knowledge & SAS (preferred) Credit Risk knowledge Python (basics) PySpark (optional) People who have worked on Risk data will have an advantage. Writing Proc SQL Queries to fetch required data from database (Teradata, My SQL, snowflake) tables as perrequirements. ...

Designation: Data Engineer- Informatica developer Job Location: Bangalore(Hybrid) Experience: 4-6 Years     Job Description About the Role Design, develop, and implement data integration workflows using Informatica PowerCenter or other Informatica products.2. Collaborate with business analysts, data architects, and project managers to gather and analyze requirements, translating them into technical specifications and data integration workflows.3. Build and maintain ETL ...

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.  ...

A Bachelor's or Master's degree in engineering, computer science, or a related field OR an equivalent combination of relevant training / work experience 7+ years of experience of relevant experience as Azure Data Engineer Thorough knowledge of designing efficient and resilient data pipelines, ETL workflows, data warehousing and Big Data processing Proficient in ...

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. 7-8 years’ experience in ...