1 Opening(s)
5.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
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, ...
1 Opening(s)
6.0 Year(s) To 14.0 Year(s)
Not Disclosed by Recruiter
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 ...
4 Opening(s)
7.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
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 ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
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 ...
1 Opening(s)
13.0 Year(s) To 17.0 Year(s)
80.00 LPA TO 90.00 LPA
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 ...
1 Opening(s)
5.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
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 ...
3 Opening(s)
4.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
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 ...
1 Opening(s)
6.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
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. ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
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 ...
2 Opening(s)
6.0 Year(s) To 10.0 Year(s)
17.00 LPA TO 20.00 LPA
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.
...