Data Engineering Cloud Specialist

4 weeks ago


Bengaluru, Karnataka, India NTT DATA Full time
Job Title: Data Engineering Cloud Specialist

About the Role
We are seeking an experienced Data Engineer to join our team at NTT DATA. This is a fantastic opportunity to work on diverse data engineering activities on Azure Data platform and contribute to building a robust data pipeline connecting various enterprise data sources.

About You
To be successful in this role, you will have minimum 5 years of overall experience preferably in the data domain (data analysis, database development). You should also have minimum 5 years' experience as a cloud-based Data Engineer with expertise in Azure Data Services such as Azure Databricks, Delta Lake, Azure Data Lake Storage, Blob Storage, Azure Data Factory.

Your Key Responsibilities
- Design and develop big data processing notebooks using Azure Databricks
- Scripting and programming using programming languages such as Python, PySpark etc.
- Lead the data identification, data analysis efforts for data sources and work directly with data owner teams
- Develop data requirements for new data sources
- Understand the data model, transform data to target schema from relational and semi structured source data
- Clean and process the data for Machine Learning consumption

About Our Offer
This role comes with an attractive estimated salary of $140,000 - $170,000 per annum, depending on your level of experience. You will also receive a range of benefits including comprehensive health insurance, generous paid time off, and opportunities for career growth and professional development.

What We Are Looking For
- Minimum 5+ years overall experience preferably in data domain (data analysis, database developer)
- Minimum 5 years' experience as a cloud-based Data Engineer
- Minimum 3 years' experience and strong knowledge of Azure Data Services such as Azure Databricks, Delta Lake, Azure Data Lake Storage, Blob Storage, Azure Data Factory
- Strong knowledge of Big Data and Analytics, including Apache Spark, Delta Lake
- Good understanding of data integration and warehousing (ETL, ELT) processes
- Strong knowledge of Database concepts, SQL and experience in working with Database clients like TOAD, SQL developer, SQL Server Management Studio



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