Job highlights

- Is Good in SQL,can create Stored Procedures and manage database objects
- The person should be a self-motivated person with a passion for problem-solving and continuous learning
- The ideal candidate is a Developer with experience in developing ETL solutions for Data Warehousing in Cloud Solutions utilizing Python/ PySpark

The ideal candidate is a Developer with experience in developing ETL solutions for Data Warehousing in Cloud Solutions utilizing Python/ PySpark. The person should be a self-motivated person with a passion for problem-solving and continuous learning.

Role and responsibilities:

The Data Engineer is responsible for the design, development, implementation, management, and support of mission- critical enterprise Data solutions on Cloud Platforms. Builds Extract, Transform, Load (ETL) processes in Python/ PySpark. Has hands on with cloud applications and resources. Is Good in SQL, can create Stored Procedures and manage database objects.





Job Specification

Strong experience reading and writing SQLExperience of working with Data Projects Data Warehousing, Data Migration, etcAble to lead a team of Developers and mentor themWork with project management to provide effort estimates and timelinesInteract with Business and IT team members to move the project forwardMust have AWS/ AZURE hands-on experience

Must be able to debug and fix production/existing issuesExperience in developing and debugging stored proceduresMust have strong performance tuning and troubleshooting experience

Good Communication skills verbal and writtenMust be able to work on one or more assignments simultaneously with minimal supervision

Must-have skills:PythonPySparkSQL Python + SQL or DWH or PySparkAWS or Azure positive to have not mandatoryApply Now

📌 Data Engineer (Noida)
🏢 Impressico Business Solutions
📍 Noida