Big Data Engineer III

Big Data Engineer III is responsible for designing, developing, and maintaining large-scale data processing systems. This role includes building and optimizing data pipelines and ETL processes, designing and maintaining data models and architectures, and conducting performance tuning and optimization of data processing systems. Collaboration with data scientists and analysts is essential to deliver actionable insights.

What you will do:

• Data Engineering: Architect and optimize ETL processes for complex data requirements. Design advanced data models to support sophisticated data processing needs. Design and manage robust, scalable data pipelines.
• Database Management: Oversee the management and optimization of databases. Utilize advanced SQL techniques for complex data operations. Oversee the implementation and management of NoSQL databases. Architect and manage data warehousing solutions.
• Big Data and Cloud Technologies: Lead the implementation and optimization of big data technologies. Manage and optimize distributed computing resources for large-scale data processing. Build, maintain, and manage data pipelines using cloud technologies, Snowflake, Fivetran, DBT, Airflow. Utilize cloud platforms for scalable data processing and storage.
• DevOps and Security: Apply DevOps practices to automate and streamline data engineering workflows. Implement containerization solutions for data processing jobs. Implement data security measures to protect sensitive information. Optimize the performance of data processing and storage systems.
• Leadership: Mentor and guide junior engineers, fostering a collaborative and innovative work environment.

Do you have experience in Team leadership?, * Bachelor's Degree Computer science, Information Technology, Engineering, or a related field. required or

• 6-8 years of additional relevant experience required
• Master's Degree Computer science, Information Technology, Engineering, or a related field or 5+ YOE of direct experience. preferred

Experience

• 5+ years Experience in data engineering or a related field required

Licenses and Certifications

• While not required, there are a variety of certifications that prove skillset (Big data certs, Azure cloud certs, Snowflake certs)

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