Role : Azure Data Engineer
Location : Cary, North Carolina
Duration : 6 months
Note : This is hybrid but on-site in Cary location 3 days mandatory office.
Role Description :
- Client Azure Collect, store, process and analyze large datasets to build and implement extract, transfer, load (ETL) processes.
- Develop reusable frameworks to reduce the development effort involved thereby ensuring cost savings for the projects.
- Develop quality code with thought through performance optimizations in place right at the development stage.
- Appetite to learn new technologies and be ready to work on new cutting-edge cloud technologies.
- Work with team spread across the globe in driving the delivery of projects and recommend development and performance improvements.
- SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
- Proficiency and extensive Experience with Spark Scala, Python and performance tuning is a MUST Hive database management and Performance tuning is a MUST. (Partitioning Bucketing )Strong SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
- Strong analytic skills related to working with unstructured datasets Performance tuning and problem-solving skills is a must.
- Code versioning experience using Bitbucket AzDo.
- Working knowledge of AzDo pipelines would be a big plus.
- Monitoring performance and advising any necessary infrastructure changes.
- Strong experience in building designing Data warehouses, data stores for analytics consumption.
- (real time as well as batch use cases)Eagerness to learn new technologies on the fly and ship to production Expert in technical program delivery across cross-functional LOB teams.
- Expert in driving delivery through collaboration in highly complex, matrixed environment Possesses strong leadership and negotiation skills Excellent communication skills, both written and verbal Ability to interact with senior leadership teams in IT and business.
- Must Have 7+ years of Experience in Microsoft Azure.