Job Description
Roles and Responsibilities:
Solid experience leading data teams in developing data engineering platforms.
Good working knowledge of Azure Data Bricks, Data Bricks Delta Lake, Azure Data Factory (ADF),
ADF metadata driven pipelines, Azure DevOps, MS SQL Server, SSMS, Python and PySpark
Knowledge of Azure connectivity in general, Azure Key Vault, Azure Functions, Azure integration
with Active Directory.
Knowledge of Azure Synapse Analytics, Synapse Studio, Azure Functions, ADLS
SQL coding to write queries, stored procedures, views, functions etc.SQL management studio
DB configuration experience.
Experience in SQL Server and SSIS package sETL implementation experience
knowledge of Azure SQL,Azure Functions, Azure Data Factory (ADF), ADF
metadata driven pipelines, Azure DevOps
Contribute to the delivery of data quality reviews including data cleansing where
required to ensure integrity and quality.
Understand data models, data storage models and data migration to manage data
within the organization, for a small to medium-sized project.
Resolving escalated design and implementation issues with moderate to high complexity.
Analyzing the latest industry trends such as cloud computing and distributed processing
and beginning to infer risks and benefits of their use in business.
Work toward adherence to the relevant data engineering and data modelling processes,
procedures and standards
Design and maintain the overall architecture for the product(s)/platform(s) in alignment
with enterprise architecture and platform strategy (including architectural roadmaps)
Hands-on experience in building platforms and services using private/public cloud IaaS,
PaaS, and SaaS platforms
Any Graduate