Company Overview We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description We are seeking a highly skilled and motivated Data Engineer / Analytics Engineer to design, build, and maintain scalable data solutions. The ideal candidate will have strong expertise in SQL and Snowflake, hands‑on experience with modern data tooling, and a passion for automation, analytics, and collaboration. Key Responsibilities Design, develop, and optimize complex SQL queries and data models in Snowflake Build and maintain ELT/ETL pipelines using best practices in data warehousing Develop Python scripts for automation, data processing, and API integrations Work with AWS services such as Glue, Lambda, S3, and CloudFormation to support data workflows Implement and manage data transformations using dbt, including testing and documentation Design and maintain data warehouse schemas (star, snowflake, and other dimensional models) Integrate and consume REST APIs, handling CRUD operations efficiently and securely Collaborate with analytics, product, and engineering teams to deliver reliable data solutions Use Git for version control and contribute to CI/CD pipelines for data and code deployments Monitor, troubleshoot, and optimize data pipelines for performance and reliability Required Skills & Qualifications Strong proficiency in Advanced SQL, with extensive Snowflake experience Solid experience with Python for scripting, automation, and API integrations Hands‑on experience with AWS (Glue, Lambda, S3, CloudFormation, or similar services) Strong understanding of data warehousing concepts, including modeling, schema design, and ETL/ELT Practical experience using dbt in production environments Familiarity with Git and modern CI/CD practices Understanding of REST APIs and CRUD operations Strong analytical thinking, problem‑solving skills, and attention to detail Excellent communication skills and a collaborative mindset Essential Qualifications Must have Skills: Snowflake, ETL Concepts (Strong), DBT Referrals increase your chances of interviewing at Nagarro by 2x #J-18808-Ljbffr
Senior Staff Engineer - Data Engineer
NAGARRO
workfromhome, workfromhome
Publicado hace 17 días
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