Job
Description
Job Responsibilities
Technology Leadership – Independently he/she should be able to design, implement deliver complex Data Warehousing/Data Lake, Cloud Data Management and Data Integration project assignments.
Technical Design and Development – Expertise in any of the following skills.
Any of the ETL tools (Informatica, IICS, Matillion, Data Stage), andhosting technologies like the AWS stack (Redshift, EC2) is mandatory.
Any of the BI toolsamong Tablau, Qlik & Power BI and MSTR.
Informatica MDM, Customer Data Management.
Expert knowledge of SQL with the capability to performance tune complex SQL queries in tradition and distributed RDDMS systems is must. Experience across Python, PySpark and Unix/Linux Shell Scripting.
Project Managementis must to have. Should be able create simple to complex project plans in Microsoft Project Plan and think in advance about potential risks and mitigation plans as per project plan.
Task Management – Should be able to onboard team on the project plan and delegate tasks to accomplish milestones as per plan. Should be comfortable in discussing and prioritizing work items with team members in an onshore-offshore model.
Handle Client Relationship – Manage client communication and client expectations independently or with support of reporting manager. Should be able to deliver results back to the Client as per plan.
Education
Bachelor Equivalent - OtherPG Diploma in Management Work Experience
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.
Behavioural Competencies
OwnershipTeamwork & LeadershipTalent ManagementCultural FitMotivation to Learn and GrowLifescience Knowledge Technical Competencies
Azure Data Factory(ETL)Talend (ETL)AWS EMRInformaticaIICS (Informatica Integration Cloud Service)Informatica MDMQlik ViewMSTRPower BIBusiness Intelligence(BI)
