Azure Data Architect

Roles and Responsibilities:

Overall 12+ years of
Experience in Data Engineering, Data Modelling.


Excellent (Hands-On) in Azure,
ADF, Databricks (PySpark), Python, SQL, Unix Shell scripting.


Good experience in Snowflake
Datawarehouse.


Experience in ETL,
tools like Matillion, QLIK, DataStage, and performance tuning /
optimization.


Experience in building
dimensional data models.

Experience in working with ML.
teams to coordinate and enable the promotion of ML models to a governed.
production environment to bring stability and robustness to be supported by AMS.
(Data Ops and ML Ops team) teams.


Coordinating with onshore and
offshore cross-functional teams to deliver concurrent projects.


Strong ETL experience in
handling large volumes of data in the complex
heterogeneous data warehouses and processing high volume jobs.


Experience in
building data ingestion pipeline and data replication into
cloud environments hosted on Azure platform.


Knowledge in databases
such as Oracle, IBM DB2, SAP HANA, and ERP systems (SAP and JDE).


Ability to architect scalable.
data pipelines, following the best practices.