We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience designing, developing, and maintaining scalable data pipelines and data processing solutions to support business reporting, analytics, and data integration requirements.
Ideal Candidate Profile: A hands-on Data Engineer with strong Databricks, Python, Azure database, and Oracle experience. AI experience will be an added advantage.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.
- Work extensively with Databricks for data processing, transformation, and analytics.
- Develop and maintain data workflows using Python and SQL.
- Integrate data from multiple sources, including Azure databases and Oracle databases.
Required Skills and Qualifications:
- 5–7 years of experience in data engineering or data development.
- Strong hands-on experience with Databricks.
- Experience working with Azure database technologies.
- Strong experience with Oracle Database and SQL.
- Proficiency in Python programming for data processing and automation.
- Experience with ETL/ELT processes, data integration, and data transformation.
- Strong analytical, troubleshooting, and problem-solving skills.
- Good communication and collaboration skills.
