About the job
WHO WE ARE:
DataPhase (A subsidiary of NextPhase.ai) is a Data Management Solutions provider focused on Data Operations services for enterprise data in the cloud. We are leading the innovation agenda with our clients by delivering a portfolio of services to help them improve data quality and manage data governance for their cloud data. DataPhase (A subsidiary of NextPhase.ai) data management services are tailored to achieve our client’s business outcomes, thus enabling our clients to focus on monetizing their data while we handle data operations. DataPhase (A subsidiary of NextPhase.ai) provides you with a dynamic and fun work environment and encourages you to use creative thinking to solve client challenges.
Key Responsibilities:
- Develop and maintain efficient data pipelines and workflows.
- Write clean, efficient, and scalable code using Python and/or PySpark on Databricks.
- Design, implement, and optimize SQL queries for data extraction and manipulation.
- Utilize Spark and Airflow to process and manage large datasets.
Preferred Qualifications:
- Hands on with delta table formats.
- Experience working with Amazon Web Services (AWS).
- Problem-solving skills and the ability to troubleshoot complex data issues.
- Good communication skills and the ability to work collaboratively in a team environment.
DataPhase (A subsidiary of NextPhase.ai) is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.
