What's this role about?

As an Azure Technical Specialist, you will be responsible for migration to Azure Data Cloud or implementing data solutions using Azure Data Cloud services including integration with existing data and analytics platforms and tools.

Here's how you'll contribute:

You will contribute to the role by:

• Creating Impact faster: Delivering more Impact In less time by quickly deploying solutions or augmenting existing ones to enable teams to accelerate business results and Increase time to value
• Breaking through barriers: Helping create better customer experience by taking the data first approach and deliver Insights
• Adapting to anything: Agility to reacting and responding to new business priorities and market conditions and customer opportunities with rapidly deployable solutions
• Innovating anywhere: Solving problems with powerful solutions enabling Inter operable solutions across multiple lines of business

Skills required to contribute:

7-9 Years of Data and Analytics experience with minimum 4 years in Azure Cloud

1. Excellent communication and presentation skills.
2. Extensive experience in Azure stack – Azure Data bricks, Azure Synapse, ADLS, Azure SQL DB, Azure Data Factory, CosmoDB, Analysis Services, Event Hub etc..
3. Excellent experience in data processing using Azure Data bricks, complex data transformation using Pyspark or Python and building end to end data pipeline using Azure Data bricks
4. Experience in job scheduling using Oozie or Airflow or any other ETL scheduler
5. Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
6. Good experience in designing & delivering data analytics solutions using Azure Cloud native services.
7. Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design
8. Documentation of solutions (e.g. data models, configurations, and setup).
9. Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
10. Experienced in internal as well as external stakeholder management
11. Experience in MDM / DQM / Data Governance technologies like Collibra, Atacama, Alation, Reltio will be added advantage.
12. Azure Data Engineer certification is must. Databricks or Spark certification will be beneficial.
13. Nice to have skills: Working experience with Snowflake, reporting tools like Power BI etc.