Role Overview:

We are seeking a highly skilled Senior Data Engineer with strong expertise in Python, AWS, Snowflake, and SQL to design, build, and maintain scalable data solutions.

The ideal candidate will have extensive experience in data engineering, ETL/ELT development, cloud-based data platforms, and data pipeline orchestration.

This role requires a strong technical foundation, problem-solving abilities, and the capability to work closely with cross-functional teams to deliver reliable and efficient data systems.

Key Responsibilities:

- Design, develop, and maintain scalable data pipelines and data integration solutions.

- Build and optimize ETL/ELT processes for efficient data ingestion, transformation, and delivery.

- Develop and manage data workflows using Python and cloud-native technologies.

- Implement and maintain data solutions on AWS and Snowflake platforms.

- Design and optimize data models to support analytics, reporting, and business intelligence requirements.

- Ensure data quality, integrity, security, and governance across data platforms.

- Monitor, troubleshoot, and optimize data pipeline performance and reliability.

- Collaborate with data analysts, data scientists, and business stakeholders to understand and deliver data requirements.

- Write efficient and optimized SQL queries for data extraction, transformation, and analysis.

- Support data architecture initiatives and contribute to best practices for data engineering and cloud adoption.

- Participate in code reviews, testing, and deployment activities to ensure high-quality deliverables.

- Contribute to continuous improvement initiatives, automation, and operational excellence within the data ecosystem.

Required Skills & Experience:

- 7+ years of experience in Data Engineering.

- Strong hands-on experience with Python.

- Mandatory experience working with AWS services.

- Good experience with Snowflake.

- Strong proficiency in SQL and database concepts.

- Experience in ETL/ELT development and data pipeline orchestration.

- Solid understanding of data modeling principles and best practices.

- Experience building scalable and reliable cloud-based data solutions.