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 effective 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