Senior Data Engineer ( Senior Consultant)

Overview

Senior Data Engineer (Senior Consultant) to design, develop, and manage enterprise-scale data platforms and ETL/ELT solutions.

What you'll do

• Develop and maintain scalable ETL/ELT pipelines using dbt, Snowflake, and Airflow.
• Implement business transformation logic using SQL and Python.
• Design and optimize enterprise data models, data marts, and data warehouse solutions.
• Build, schedule, monitor, and troubleshoot Apache Airflow workflows.
• Develop and automate deployment processes using GitLab CI/CD, including jobs and runners.
• Ensure data quality, governance, observability, and performance optimization.
• Support AI/ML initiatives by building feature-ready datasets and scalable pipelines.

What you'll need

• 13–14 years of experience in data engineering, ETL, data warehousing, or related domains.
• Hands-on expertise in dbt, Snowflake, SQL, Python, Airflow, and GitLab CI/CD.
• Advanced SQL skills for complex transformations and query optimization.
• Python experience for data processing, automation, and validation.
• Hands-on experience with GitLab source code management and CI/CD pipeline creation, including Jobs and Runners.
• Deep knowledge of ETL/ELT, data warehousing, dimensional modeling, and data governance.
• Experience with AI/ML projects including data preparation/feature engineering and MLOps concepts.

Nice to have

• Experience with AWS, Azure, or GCP.
• Exposure to Generative AI, RAG architectures, vector databases, or AI-powered analytics solutions.
• Experience leading technical teams and driving architecture decisions.

Details

• Location: Pune, India.