4.0 - 7.0 years

25 - 30 Lacs

bengaluru

Work from Office

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.

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