We're Nagarro. 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 a 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! REQUIREMENTS: Expert knowledge in databases like PostgreSQL (preferably cloud-hosted in AWS, Azure, GCP), and Snowflake Data Warehouse with strong programming experience in SQL. Competence in data preparation and/or ETL tools to build and maintain data pipelines and flows. Expertise in Python and experience working on ML models. Deep knowledge of databases, stored procedures, and optimization of large data sets. In-depth knowledge of ingestion techniques, data cleaning, de-duplication, and partitioning. Understanding of index design and performance-tuning techniques. Familiarity with SQL security techniques such as data encryption at the column level, Transparent Data Encryption (TDE), signed stored procedures, and assignment of user permissions. Experience in understanding source data from various platforms and mapping them into Entity Relationship Models (ER) for data integration and reporting. Exposure to source control tools like GIT, Azure DevOps. Understanding of Agile methodologies (Scrum, Kanban). Experience with automated testing and coverage tools. Experience with CI/CD automation tools (desirable). Programming language experience in Golang (desirable). RESPONSIBILITIES: Design and implement Snowflake-based data warehouse solutions. Develop and optimize complex SQL queries, stored procedures, and views in Snowflake. Build ETL/ELT data pipelines for efficient data processing. Work with structured and semi-structured data (JSON, Parquet, Avro) for data ingestion and processing. Implement data partitioning, clustering, and performance tuning strategies. Manage role-based access control (RBAC), security, and data governance in Snowflake. Integrate Snowflake with BI tools (Power BI, Tableau, Looker) for reporting and analytics. Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional/non-functional business requirements. Build pipelines for optimal extraction, transformation, and loading of data from various sources using SQL and cloud database technologies. Prepare ML models for data analysis and prediction. Work with stakeholders including Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. Ensure data separation and security across national boundaries through multiple data centers and regions. Collaborate with data and analytics experts to enhance functionality in our data systems. Manage exploratory data analysis to support database and dashboard development.
