DE&A - Core - Data Engineer (Snowflake, Python, AWS)

Job Title: Data Engineer (Snowflake, Python, AWS)

Experience: 5-8 Years

Job Summary:

We are looking for a highly skilled Data Engineer with expertise in Snowflake, Python, and AWS to join our team. The ideal candidate will have 5-8 years of experience in designing, building, and optimizing data pipelines, ensuring data integrity, and enabling efficient data storage and retrieval. This role requires strong analytical skills, problem-solving abilities, and hands-on experience with cloud-based data architectures.

Key Responsibilities:

• Design, develop, and optimize ETL/ELT pipelines using Python and Snowflake .
• Implement and maintain cloud-based data solutions on AWS (S3, Lambda, Glue, Redshift, etc.).
• Work with structured and unstructured data from multiple sources to build efficient data models .
• Develop and maintain data lakes and data warehouses , ensuring high availability and security.
• Optimize SQL queries and Snowflake performance through best practices.
• Automate data workflows and support CI/CD pipelines for data engineering processes.
• Collaborate with data scientists, analysts, and business teams to provide high-quality data solutions.
• Ensure data quality, security, and compliance with industry best practices.

Required Skills & Qualifications:

• 5-8 years of experience in data engineering .
• Expertise in Snowflake architecture, optimization, and data modeling.
• Strong proficiency in Python for data processing and automation.
• Experience with AWS services like S3, Lambda, Glue, Redshift, and Step Functions .
• Hands-on experience with ETL/ELT tools and data pipeline orchestration.
• Strong SQL skills and experience in query optimization .
• Knowledge of data security, governance, and compliance best practices.
• Experience with Airflow, DBT, or similar orchestration tools is a plus.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Experience with Big Data technologies (Spark, Kafka, etc.).
• Knowledge of machine learning pipelines or real-time data processing.
• Certification in AWS, Snowflake, or Python is a plus.