Senior Data Engineer

Design and build 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. Data integration skills are a must. 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 is needed. 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 a plus. Experience working in Financial Industry is a plus.