About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Born digital in 2014, Brillio applies its expertise in customer experience transformation, data analytics, Artificial Intelligence, platform and product engineering, cloud infrastructure, and security to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.
Brillio, renowned for its world-class professionals, referred to as "Brillians," distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Senior Data Engineer
Primary Skills
- Data Warehousing, DataStream, ETL Fundamentals, Modern Data Platform Fundamentals, PLSQL, T-SQL, Stored Procedures, Python, Snowpipe, SnowSQL, SQL, SQL (Basic + Advanced), Time Travel and Fail Safe
Secondary Skills
Specialization
- Snowflake Engineering: Data Engineer
Job requirements
- 10 years of industry experience with hands on managing projects in Data Warehousing with a minimum 4 years of experience working on Snowflake Bachelor’s degree in computer science, Engineering, or related fields or equivalent practical experience. Should have hands on experience with ETL tools (Matillion Preferred) Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling). Experience in designing and building manual or auto ingestion data pipeline using Snowpipe. SnowSQL Experience in developing stored Procedures writing Queries to analyse and transform data. Expertise in Snowflake data modeling, ELT using snowpipe, implementing stored procedures and standard DWH and ETL concepts. Should have implement cloud-based Enterprise data warehouse solutions with multiple data platforms along with Snowflake environment to build data movement strategy Should be able to make necessary on-going updates to modeling principles, processes, solutions, and best practices to ensure that the Snowflake is aligned with business needs of the environment. Should be able to lead in developing project requirements for end-to-end Data integration process using ETL for Structured, semi-structured and Unstructured Data. Expertise in Snowflake concepts like setting up resource monitors, RBAC controls, virtual warehouse, query performance tuning, Zero copy clone, time travel and understand how to use these features
- #LI-CH1
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