60 Job openings found

You will own and manage all the Data and MIS requirements that are needed to run/govern day-to-day operations and perform data analysis for the collections. What you will do: Design and implement frameworks to automate and deploy Management Information System (MIS), data integration, and manual operations workflows, streamlining processes and reducing manual ...

You will own and manage all the Data, MIS, Dashboard & Automation requirements that are needed to govern day to day operations, create recons and perform data analysis for the Product team working onFinOps and Loan Management System.  What you will do: Establish a robust reconciliation framework across our Loan Management System ...

Project Duration- 3 months (extendable 6 months) Rate-1.60 Lac Pm Exp- 4-7 yrs Bangalore Hybrid   Required Skills & Qualifications: Strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related GenAI technologies. Proficiency with Azure Databricks. Strong analytical, problem-solving, and stakeholder communication skills. Solid understanding of data governance frameworks, compliance, and internal controls. Experience in data quality rule development, profiling, and implementation. Experience with ...

Job Description- Data Architect - SnowflakeResponsibilities:• Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns.• Design and implement robust data architectures to meet and support business requirements leveraging Snowflake platform capabilities.• Develop and enforce data modelling standards ...

Requirement : Azure Databricks   Location : Bangalore (Onsite)   Experience : 5+yrs       Databricks, Azure, Python CPG, creating CI/CD pipelines in data bricks using features in Databricks. Proficiency in a structured programming language is a must such as Python. Design, implement, and maintain scalable data processing pipelines using Azure Databricks with PySpark or Scala. Perform ETL/ELT operations, data cleaning, ...

Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 3.5 - 7 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product ...

Principal Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal controlenvironment, etc.)Managing senior business stakeholders. Understand business challenge and convert to data solution Participate in design of data solution along with senior product owners Manage a team of data analyst. Distribute work to teams. Ensure projects executed as per ...

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 ...