59 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 ...

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 ...

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 ...

Job Description: Develop and implement new software programs Maintain and improve the performance of existing software Clearly and regularly communicate with management and technical support colleagues Design and update software database Test and maintain software products to ensure strong functionality and optimization Recommend improvements to existing software programs as necessary General backend python sql version control (git, github) experience with *nix ...

Must to Have • We are looking for good resource who has very good experience on Azure Data Lake, Azure Data Factory, Azure Data Bricks (Pyspark) and Azure Synapse • Resource should have knowledge about source systems like Sales Force/ Oracle ERP/SAP Ariba etc and should have worked on the integrations with ...