Senior Data Engineer

1 week ago


Gurgaon, Haryana, India Boston Scientific Full time

Your responsibilities will include: Build and optimize backend services, APIs, and frameworks to enable robust data access and application integration. Architect and implement data models, warehousing, and governance frameworks within Snowflake. Design and deliver front-end dashboards and tools using React to provide actionable insights for stakeholders. Implement CI/CD pipelines, DevOps practices, and automation frameworks for reliable delivery. Collaborate closely with cross-functional teams (data science, analytics, and product) to deliver end-to-end solutions. Ensure all solutions adhere to security, compliance, and data privacy standards. Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 5-8+ years of professional experience in data engineering, backend, or full-stack development. Proven expertise in advanced SQL (complex queries, optimization, windowing, stored procedures, performance tuning). Strong, production-level proficiency in Python (beyond ingestion — including APIs, automation, frameworks). Hands-on expertise with AWS services (Lambda, S3, Glue, RDS, API Gateway, IAM, CloudWatch, Elastic Beanstalk, Airflow, CLI). Strong experience with Snowflake (data modeling, performance optimization, governance). Proficiency in Data warehouse, DBT (Data Build Tool) Knowledge of CI/CD pipelines, Git, and containerization (Docker). Familiarity with infrastructure as code (Terraform or CloudFormation). Experience with production deployments, monitoring, and troubleshooting. Exposure to data analytics and BI platforms (Tableau, Power BI). Strong leadership skills to mentor and guide developers. Proficiency with to build scalable front-end applications



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