• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 3rd Sep 2024

Expertise in ETL/ELT processes, data pipelines, data modeling, schema design, and data warehousing. Programming Languages: Strong Python and SQL skills, with knowledge of other languages like Scala or R beneficial. Data Warehousing and Business Intelligence: Strong ERD concepts, designs, and patterns, Understanding of OLAP/OLTP systems, performance tuning, Database Server concepts, and BI tools (Power BI, Tableau). Data Governance: Strong understanding of RBAC/ABAC, Data Lineage, Data leak prevention, Data security, and compliance. Deep understanding and implementation knowledge of audit and monitoring in Cloud.

A minimum of seven (7) years of applying Enterprise Architecture principles, with at least five (5) years in a lead capacity.

Additionally, the candidate must have a proven track record in the following areas: Cloud and Data Engineering:

Minimum of five (5) years of hands-on experience with Azure Data Factory, Databricks, API management, and managing Azure resources.

Demonstrated ability to automate Azure data resources using DataOps principles and tools.

Data Modeling and Development: Minimum of five (5) years of experience developing data models and pipelines using Python.

Data Platform:

Minimum of five (5) years of experience working with Lakehouse platforms.

DevOps and Infrastructure as Code: Minimum of three (5) years of experience in CI/CD pipelines and infrastructure automation using tools such as Terraform. Preferred Terraform experience.

Data Warehouse: Minimum of five (5) years of experience with data warehousing systems, OLAP/OLTP systems, and integration of BI tools

This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field.