Basic requirement:
They are looking for an ideal candidate who is self-motivated and result-driven. The candidate should have the ability to work independently besides team collaboration and be a good fit into the Organizations culture.
About the client:
They are a leading consultancy; They aim to provide comprehensive solutions to the clients. They believe in rendering solutions that revolutionize the way productivity is enhanced in an organization. They offer an integrated portfolio of innovative solutions and technology-led services, making it a remarkable and comprehensive experience for all stakeholders to work with them.
Clients vision:
They have been located in the Netherlands for over 7 years and are expanding to the UK and India! They are Officially going global. They pride themselves on the international workforce and bring in the best minds from across the globe.
Requirements
Exp Level : 7-9 years.
Azure Databricks as primary skillset and ADF as secondary skillset.
Replicate current Oracle database setup in Azure Datalake.
Load data from source having different file format(Parquet, JSON, AVRO, ORC).
Implement incremental loading.
Replicate Oracle stored procedures having complex data transformation logics using Azure Databricks(Scala,spark,SQL).
Perform Insert, Update, Delete and Merge operations on a high volume of data.
Set up scheduled reload task.
Benefits
- Great salary package
- Travel allowance
- An open culture where you can express your views
- Work life balance
- Visa sponsorship
- A great group of like-minded colleagues
- Relocation support
Exp Level : 7-9 years. Azure Databricks as primary skillset and ADF as secondary skillset. Replicate current Oracle database setup in Azure Datalake. Load data from source having different file format(Parquet, JSON, AVRO, ORC). Implement incremental loading. Replicate Oracle stored procedures having complex data transformation logics using Azure Databricks(Scala,spark,SQL). Perform Insert, Update, Delete and Merge operations on a high volume of data. Set up scheduled reload task.