Seeking a skilled Data Engineer to design, develop, and optimize data pipelines and systems using cutting-edge technologies.
Key Responsibilities:
- Build and maintain scalable data pipelines with tools like Airflow .
- Develop big data solutions using Spark , Hadoop , and ETL processes.
- Design data models and manage storage in Redshift , BigQuery , and cloud platforms (AWS , Azure ).
- Write efficient Python , Java , and SQL code for data processing and automation.
- Collaborate with stakeholders to deliver robust data solutions.
- Ensure productive data ingestion from various sources into SQL databases.
- Troubleshoot complex issues related to data quality, performance, and security.
- Design, develop, and maintain large-scale data pipelines using Python, Spark, and Pandas.

Qualifications:
- Bachelor's degree in a relevant field.
- 3+ years of experience in data engineering.
- Proficiency in Python , Java , ETL tools , and big data technologies.
- Expertise in SQL , NoSQL , and cloud-based data solutions.

Preferred:
- Knowledge of Docker , Kubernetes , CI/CD, and data security.

📌 Data Engineer using Python (Delhi)
🏢 Trigyn Technologies
📍 Delhi