Senior Data Engineer

About the Role

We are seeking a Senior Data Engineer to build, maintain, and improve data solutions that address business needs across multiple departments. This is a hands-on individual contributor role with technical leadership responsibilities. The Senior Data Engineer will contribute directly to project delivery while providing technical guidance and mentorship to other data engineers.

Work Location: Bangalore

Work Mode: Hybrid (3 Days in office)

Shift Timing: 11:00 AM - 8:00 PM

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data models using Snowflake, dbt, and Dagster.
• Write, review, troubleshoot, and optimize SQL queries for data transformation, analysis, and reporting.
• Monitor existing dbt pipelines, investigate failures and performance issues, and take appropriate steps to maintain pipeline reliability and health.
• Troubleshoot data quality and availability issues, identify root causes, and implement sustainable improvements.
• Work directly with stakeholders across business departments to understand their processes, pain points, and data needs.
• Apply a customer-centric approach when engaging with stakeholders, communicate clearly, and follow through on agreed deliverables.
• Translate business and functional requirements into well-defined technical solutions.
• Quickly familiarize yourself with unfamiliar data sets, understand their structure and meaning, assess their quality, and determine how they can support business needs.
• Deliver short-term, cross-functional projects, adapting to new subject areas, systems, stakeholders, and priorities.
• Lead technical work on assigned projects while remaining hands-on in design, development, troubleshooting, and delivery.
• Guide and mentor other data engineers through collaboration, knowledge sharing, and constructive technical feedback.
• Promote sound engineering practices, including testing, documentation, version control, code quality, and pipeline monitoring.
• Identify opportunities to improve data workflows, platform performance, pipeline observability, and the usability of data products.
• Communicate project status, technical considerations, and recommendations to both technical and non-technical audiences.

Requirements & Tech Stack

• Snowflake
• dbt
• Dagster
• SQL

Qualifications

• Significant experience in data engineering or a closely related role.
• Hands-on experience with Snowflake, dbt, and Dagster.
• Strong SQL proficiency, including the ability to write, troubleshoot, and optimize queries.
• Experience building, supporting, and maintaining data pipelines and transformation workflows.
• Demonstrated ability to monitor production data pipelines and respond effectively to failures or other operational issues.
• Strong data intuition: the ability to explore unfamiliar data, recognize patterns and anomalies, assess data quality, and develop a practical understanding of what the data represents.
• Ability to become familiar with new data sets and business domains quickly.
• Experience translating business or functional needs into data solutions.
• A customer-centric approach and the ability to work effectively with stakeholders across different business departments.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to learn new concepts quickly and adapt to changing project needs and priorities.
• Effective communication and collaboration skills with both technical and non-technical audiences.

Preferred Qualifications

• Experience supporting analytics, reporting, or business intelligence use cases.
• Familiarity with data testing, observability, and pipeline alerting practices.
• Experience mentoring or providing technical guidance to other data engineers.
• Experience leading technical delivery on projects while contributing hands-on.
• Familiarity with software development practices such as Git, code review, and CI/CD.
• Experience working in a project-based environment with shifting priorities or short-term assignments.