Senior Data Engineer

About The Role About the Role

We are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines that power analytics, reporting, and data-driven decision-making across the organization. The ideal candidate has strong expertise in SQL, Python, DBT, Fivetran, Airflow, and Snowflake, along with experience developing robust data architectures and optimizing data workflows in a modern cloud environment.

As a Senior Data Engineer, you will collaborate closely with Data Analysts, Analytics Engineers, Data Scientists, and business stakeholders to ensure high-quality, reliable, and accessible data across the organization.

Key Responsibilities

• Design, develop, and maintain scalable ELT/ETL pipelines using Python, Fivetran, DBT, and Apache Airflow.
• Build and optimize data models within Snowflake to support analytics, reporting, and business intelligence initiatives.
• Develop and maintain reusable, well-documented DBT models, tests, and data transformations.
• Monitor and improve data pipeline performance, reliability, and scalability.
• Implement data quality frameworks, validation checks, and automated testing processes.
• Manage workflow orchestration and scheduling using Airflow.
• Partner with business and technical stakeholders to understand data requirements and translate them into scalable solutions.
• Design and maintain data warehouse architecture, ensuring best practices for governance, security, and performance.
• Troubleshoot data issues and proactively identify opportunities for process improvement.
• Mentor junior engineers and contribute to establishing engineering standards and best practices.
• Participate in architecture discussions and technology evaluations to support the evolution of the data platform.

Required Qualifications

• 5+ years of experience in Data Engineering, Analytics Engineering, or a related field.
• Advanced SQL skills with experience optimizing complex queries and large-scale datasets.
• Strong Python programming experience for data processing and automation.
• Hands-on experience with DBT, including data modeling, testing, documentation, and deployment.
• Experience implementing and managing data ingestion pipelines using Fivetran or similar ELT tools.
• Strong experience with Apache Airflow for workflow orchestration.
• Expertise in Snowflake architecture, performance tuning, and data warehouse design.
• Experience working with cloud-based data platforms and modern data stack technologies.
• Strong understanding of data warehousing concepts, dimensional modeling, and ELT best practices.
• Experience with Git-based version control and CI/CD practices.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience with AWS, Azure, or Google Cloud Platform.
• Familiarity with data governance, data lineage, and metadata management tools.
• Experience supporting BI platforms such as Tableau, Power BI, or Looker.
• Knowledge of Infrastructure as Code (Terraform or similar tools).
• Experience with streaming or near real-time data pipelines.
• Experience in Agile/Scrum development environments.

Success Metrics

• Reliable, scalable, and maintainable data pipelines.
• High data quality and trustworthiness across analytics platforms.
• Reduced pipeline failures and improved operational efficiency.
• Timely delivery of data solutions that enable business decision-making.
• Strong collaboration across engineering, analytics, and business teams.

Technical Stack

• SQL
• Python
• DBT
• Fivetran
• Apache Airflow
• Snowflake
• Git
• Cloud Platforms (AWS, Azure, or GCP)

What We Offer

• Opportunity to work on a modern cloud-based data platform.
• Collaborative and data-driven culture.
• Career growth and leadership opportunities.
• Competitive compensation and benefits package.

By submitting this applicati