Key Responsibilities:

Responsible for implementing cloud-based solutions on Azure Cloud Analytics
Collaborate with internal and external stakeholders to understand their business requirements and implement it
Identify and implement automation opportunities to increase operational efficiency
Interact and collaborate with various teams (web Development/ MS Apps / API Development etc.) to deliver the products
Work very closely with Data Architects/Technical Managers in agile environment to identify and understand the problem statements and develop/prototype the solutions accordingly.

Technical Skills:

1-4 years of experience in SQL, Azure Analytics for Developing Data Products
Strong SQL Expertise and Hands-on experience
Strong PySpark Expertise and Hands-on experience
Expertise experience with integration of different Sources System (ERPs, Applications DBs, Cloud Systems and Sharepoint) using Azure Data Factory, Azure Synapse pipelines and ADLS. Strongs Hands on experience on ADF, ADLS and Synapse.
Good hands-on Experience on DataBricks and should be able to demonstrate the use cases for DataBricks usage
Good Understanding on Unity Catalog and Delta Lake concepts
Understanding of data modelling concepts
Exposure on Azure AI Fundamentals
Experience with BI, and data analytics databases
Exposure in working with NoSQL using MongoDB or similar
Experience in real-time data ingestion from LIVE sources using Apache Kafka, Spark Streaming, EventHub and related technologies
Exposure on PowerBi or similar reporting tools and should be able to work with PowerBi team to achieve end goal.

Soft Skills:

Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
Strong verbal and written communication skills (written and verbal formal and informal).
Ability to multi-task under pressure and work independently with minimal supervision.
Must be a team player and enjoy working in a cooperative and collaborative team environment.
Adaptable to new technologies and standards.
Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
Minimum 3 years hand-on experience in one or more of the above areas.
Minimum 4 years industry experience

Azure Data Engineer

Data Engineer (Azure ADF, Databricks, PySpark, SQL)