Data Engineer

Job summary

Design, develop, and maintain scalable pipelines for data ingestion, transformation, and integration, using Databricks for processing and analytics. Build and maintain Python and SQL workflows and integrate data from Azure and Oracle databases to support reporting and analytics.

Job details

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.

What you’ll do

Design, develop, and maintain scalable pipelines for data ingestion, transformation, and integration, using Databricks for processing and analytics. Build and maintain Python and SQL workflows and integrate data from Azure and Oracle databases to support reporting and analytics.

Requirements

Requires 5–7 years of data engineering or data development experience, with hands-on expertise in Databricks, Azure database technologies, Oracle, SQL, and Python. Candidates should have ETL/ELT and data integration experience, strong analytical and problem-solving abilities, and good communication and collaboration skills; AI experience is an advantage.

Listed skills

• SQL · Preferred
• Problem solving · Preferred
• Collaboration · Preferred
• Data analysis · Preferred
• Communication · Preferred
• Troubleshooting · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Databricks
• Azure Database Technologies
• Oracle Database
• Python
• SQL
• Data Engineering
• Data Pipelines
• ETL/ELT
• Data Integration
• Data Transformation
• Data Processing
• Analytics
• Troubleshooting
• Problem-Solving
• Communication
• Collaboration

Job areas

• Data & Analytics
• Technology
• Software

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