Senior Data Engineer

Key Skills: Agile, AWS, CICD, Python, SQL, ML, Frontend Developer, Aiops, GitHub.

Roles & Responsibilities:

• Collaborate with data engineers, analysts, and product teams to design and implement robust, scalable data models and semantic layers.
• Build and maintain ELT pipelines that transform raw data into curated datasets for reporting, dashboards, and advanced analytics.
• Own the development and maintenance of our analytics layer using tools like dbt, Looker, or similar.
• Ensure data quality, consistency, and documentation across all analytics assets.
• Partner with stakeholders to understand business needs and translate them into data solutions and self-service capabilities.
• Work closely with data scientists and ML engineers to provide clean, well-structured data for experimentation and model development and help to evolve them into new product features.
• Monitor and optimize the performance of analytics workflows and queries.
• Contribute to the evolution of our data platform and analytics best practices.

Experience Requirement:

• 4 - 7 years of experience in data engineering and analytics environments.
• Proven experience building and maintaining scalable ELT pipelines and data models.
• Hands-on experience with dbt, Looker, or similar BI and transformation tools.
• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
• Experience collaborating with ML engineers and product teams to support data science initiatives.

Education:  B.Tech M.Tech (Dual), B.Tech.