Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable ETL/ELT pipelines and enterprise data platforms using dbt, Snowflake, Airflow, SQL, and Python.
Implement and optimize complex data transformations, data models, and data warehouse solutions to support business use cases.
Build and automate deployment pipelines using GitLab CI/CD; support AI/ML initiatives by creating feature-ready datasets and scalable data workflows.
Minimum Requirements
13–14 years of professional experience in Data Engineering, ETL, Data Warehousing, or related domains.
Strong hands-on expertise with dbt, Snowflake, Apache Airflow, Python, SQL, and GitLab CI/CD including jobs and runners.
Bachelor's or Master's degree in Computer Science, Engineering, IT, Data Science, or related field.
Experience supporting AI/ML initiatives including data preparation, feature engineering, and MLOps concepts.
Ideal Candidate Profile
Experienced in enterprise-scale data engineering with proven ability to design and optimize complex data pipelines and models.
Proficient in building automated CI/CD workflows for data deployment and maintaining data performance, observability, and governance.
Able to collaborate cross-functionally with Data Scientists, Analysts, and Architects while mentoring technical teams and influencing data engineering best practices.