About the job

Responsibilities

The Senior Data and ETL Engineer will have the following responsibilities:

Translate business requirements into a star schema data model, develop ETLs, build cubes, and validate results with business representatives
Support implemented BI solutions by monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
Design and plan BI solutions
Write relational and multidimensional database queries
Configure, deploy and maintain ETL

Qualifications

The role of Senior Data and ETL Engineer has the following requirements:

Bachelor’s degree in Computer Science, Engineering or a related discipline
4 – 7 years of experience in a complex data warehouse environment, hands-on Data warehousing project experience and experience in full life cycle Business Intelligence development, implementation, tuning and support
Hands-on experience in relational and multi-dimensional data modelling, including multiple source systems from databases and flat files, and the use of standard data modelling tools, preferably Oracle Data Warehousing
Hands-on Experience with Open source Big data Technology Spark, Hadoop, Kafka etc
Hands-on ETL development experience, preferably using ODI
Oracle, MSSQL, and Postgres Database experience required
Python, SQL, PLSQL, and Scala scripting languages experience preferred
Strong analytical skills to solve and model complex business requirements
Sound understanding of BI Best Practices/Methodologies, relational structures, dimensional data modelling, structured query language (SQL) skills, data warehouse and reporting techniques
Ability to collaborate on a team with infrastructure, BI report development and business analyst resources and clearly communicate solutions to both technical and non-technical team members
Work closely with BI analysts to deliver effective global BI architecture in a timely manner
Design, develop and troubleshoot Oracle packages that implement complex ETL processes
Expertise utilizing ETL/data integration tools (SQL, ODI, ) is a must
Manage Scheduled Jobs data processing for ongoing success — troubleshoot and rectify any production-related issues
Adherence to all development standards and protocols including the likes of Change Management, Code Review, Documentation and Testing
Educate and advise internal customers on how to leverage available data for consumption
Demonstrated SQL skills with extensive experience in developing stored procedures, views, functions, triggers and advanced logical methods.
Experience with Oracle Data services and Web services a strong plus, data modelling experience a plus