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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ETL/ELT data pipelines using tools like Informatica, Airflow, and Dataproc.
Manage and optimize data warehouse operations on Google BigQuery to ensure accuracy and accessibility.
Implement CI/CD pipelines for data workflows employing DevOps practices and collaborate with data science and business teams to meet data needs.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related technical field.
5+ years of proven experience in a data engineering role.
Proficiency in SQL, Google BigQuery, Python, and big data tools such as Databricks, Dataproc, Informatica, and Airflow.
Experience implementing CI/CD pipelines using Dataform and GitHub.
Ideal Candidate Profile
Experienced in managing end-to-end data engineering infrastructure in a SaaS or data-driven environment.
Technical expertise spanning data pipeline development, data warehousing, and DevOps automation.
Capable of collaborating effectively across data science, analytics, and business teams to deliver reliable data solutions.