Senior Data Engineer ( Senior Consultant)
PTC Inc. (company site, opens in a new tab)13–14 yrsPuneOn-siteDirect career pageEst. 35–50 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About 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.