Data Engineer (4-5 Years)

Job Responsibilities

1. Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow
2. Develop, test, and deploy Python-based data processing solutions
3. Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs
4. Write complex and optimized SQL queries for data transformation and extraction
5. Ensure data quality, accuracy, and compliance with internal and external standards
6. Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows
7. Utilize version control (Git) and CI/CD pipelines for code deployment and process

automation

1. (Optional/Preferred) Support backend services using Django and task queues with

Celery

Qualifications Needed

• Python
• SQL
• Snowflake
• Databricks
• Azure (or AWS)
• ETL/ELT
• ADF / Apache Airflow
• Data Warehousing
• Git
• CI/CD
• Django (preferred)
• Celery (preferred)