Big Data Developer U

About the Role

This Big Data Developer role involves working on designing, developing, and maintaining data pipelines and ETL processes using cloud-based technologies like AWS and Snowflake. You will be responsible for implementing data transformation workflows using DBT (Data Build Tool) and writing efficient, reusable, and reliable code in Python. Additionally, you will optimize and tune data solutions for performance and scalability, ensuring data quality and integrity through rigorous testing and validation.

Key Responsibilities

• Design and develop data pipelines and ETL processes using AWS and Snowflake.
• Implement data transformation workflows using DBT (Data Build Tool).
• Write efficient, reusable, and reliable code in Python.
• Optimize and tune data solutions for performance and scalability.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality and integrity through rigorous testing and validation.
• Stay updated with the latest industry trends and technologies in data engineering.

Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong proficiency in AWS and Snowflake.
• Expertise in DBT and Python programming.
• Experience with data modeling, ETL processes, and data warehousing.
• Familiarity with cloud platforms and services.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

What You'll Learn

As a Big Data Developer, you will gain hands-on experience with designing and developing data pipelines and ETL processes using cloud-based technologies. You will also learn about data transformation workflows using DBT and how to write efficient, reusable, and reliable code in Python. Additionally, you will develop skills in optimizing and tuning data solutions for performance and scalability, ensuring data quality and integrity through rigorous testing and validation.

Resume Tip

When applying for this role, make sure to highlight your experience with AWS and Snowflake, as well as your expertise in DBT and Python programming. Include specific examples of data modeling, ETL processes, and data warehousing projects you have worked on, and be prepared to discuss your problem-solving skills and attention to detail during the interview process.