Senior Data Engineer - R01557676

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. 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.

 

• Experience in designing and building Data Warehouse and Data lakes. Good knowledge of data warehouse principles, and concepts.

• Technical expertise working in large scale Data Warehousing applications and databases such as Oracle, Netezza and SQL Server.

• Experience with public cloud-based data platforms especially Snowflake and AWS.

• Expertise in design and development of complex data pipelines

• Solutions using any industry leading ETL tools such as IBM Data Stage, SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS)

• Experience of ELT tools such as DBT, Fivetran, and AWS Glue for future state

• Expert in SQL - development experience in at least one scripting language (Python etc.), adept in tracing and resolving data integrity issues.

• Strong knowledge of data architecture, data design patterns, modeling, and cloud data solutions (Snowflake, AWS Redshift)

• Data Model: Expertise in Logical and Physical Data Model using Relational or Dimensional Modeling practices, high volume ETL/ELT processes.

• Performance tuning of data pipelines and DB Objects to deliver optimal performance

• Experience in Gitlab version control and CI/CD processes

• SDLC and Agile

• Experience working in Financial Industry is a plus