We are hiring for following roles across Data management tech stacks -
Python/ PySpark - Expert in Python and should be able to efficiently use Python data-science and math packages such as NumPy, Pandas, and Scikit-learn/ Python web framework.Deep experience in developing data processing tasks using pySpark such as reading data from external sources, merge data, perform data enrichment and load in to target data destinations.Prior experience with Redshift / Synapse / Snowflake.
Salesforce Cloud Data - Overall experience of minimum 10 years in Data Management and Data Engineering role, with a minimum experience of 3 years as Salesforce Data Cloud Data Engineer
- Hands-on experience with Salesforce Data Cloud (CDP), including data ingestion, harmonization, and segmentation.
- Proficient in working with large datasets, data modeling, and ETL/ELT processes.
- Understanding of Salesforce core clouds (Sales, Service, Marketing) and how they integrate with Data Cloud.
- Experience with Salesforce tools such as Marketing Cloud.
Full Stack - We are looking for a full stack architect with experience in UI frond end (React, Angular) and backend (Python, Fast API, Flask). Please look for these experiences in the profile and also with Architecture and design of an interactive Web application catering to large number of users.
Power BI + Python - 8-12 years of experience in Designing, Developing, and publishing Power BI reports.
- Hands on experience of Design, Development of visualizations (Charts, Plots, themes etc.) , Adhoc reporting
- Extensive Experience in building Power BI Data Models, reports using charts, slicers, pivots and custom visuals
- Strong knowledge of SQL and ability to write DAX queries and do customization as per requirement.
MDM - Informatica/ Reltio- 7-12 years of experience & should have hands-on experience working on MDM Projects.Hands-on experience in industry data quality tools like Informatica IDQ, and IBM Data Quality.
