Data Engineer

Location: Remote
Experience: 5+ Years
Shift: 3:00 PM – 12:00 AM IST
Positions: 1

Job Summary

We are looking for an experienced Data Engineer with robust expertise in Python, SQL, Apache Spark, and Azure Databricks to build and maintain scalable data pipelines and cloud-based data solutions.

Key Skills

- Python, SQL, Apache Spark & Azure Databricks
- ETL/ELT pipeline development
- Azure Data Factory & Azure Synapse
- Data modeling, governance & data quality
- Batch and near real-time data processing
- GitHub & CI/CD practices
- Azure Kubernetes Service (AKS) exposure
- AI/ML data pipeline exposure is a plus

Responsibilities

- Design, develop and maintain scalable data pipelines.
- Build data processing solutions using Python, Spark and Databricks.
- Develop and optimize Azure-based data solutions.
- Integrate data from multiple enterprise and operational systems.




- Implement data quality, governance and data modeling standards.
- Support batch and near real-time data processing.
- Optimize pipelines for performance, scalability, reliability and cost.
- Collaborate with data scientists, architects and application teams.

Qualifications

- Bachelor’s degree in Computer Science, Engineering, IT or a related field.
- 5+ years of relevant Data Engineering experience.
- Solid hands-on experience with Azure, Databricks, Spark, Python and SQL.
- Good understanding of distributed data processing and cloud data architectures.
- Strong analytical and troubleshooting skills.

Pay: ₹80,000.00 - ₹100,000.00 per month

Work Location: Remote

📌 Data Engineer (India)
🏢 Delphic Global
📍 India