Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines using Informatica and DBT to support enterprise data requirements.
• Develop and optimize complex PL/SQL stored procedures and queries to ensure high-performance data processing and retrieval.
• Lead data migration and integration efforts across diverse environments, including Teradata, Google BigQuery, and Snowflake.
• Implement automation strategies using Python to streamline data workflows, reduce manual intervention, and improve operational efficiency.
• Collaborate with cross-functional teams, including data scientists and business analysts, to ensure data integrity and alignment with evolving business goals.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Minimum of 2-4 years of professional experience in data engineering, database development, or a similar technical role.
• Advanced proficiency in PL/SQL and proven experience working with Teradata database systems.
• Demonstrated hands-on experience with cloud-based data platforms, specifically Google BigQuery and Snowflake.
• Proven experience in developing and managing data pipelines using ETL/ELT tools such as Informatica and DBT.

Preferred Qualifications

• Proficiency in Python scripting specifically for automation and complex data manipulation.
• Familiarity with CI/CD practices and version control systems (e.g., Git) to manage data codebases.
• Strong analytical and problem-solving skills with a dedicated focus on data quality and governance.
• Excellent communication and interpersonal skills, with the ability to thrive in a highly collaborative, team-oriented environment.
  • Experience in mentoring team members or leading technical initiatives within a data engineering function.