26 Oct
ETL - ETL Data Engineer
Vacancy expired!
- Design, develop and maintain data models, database architectures, and associated database objects in Snowflake, Oracle, and other database solutions such as Azure.
- Design, develop, and maintain data integrations using Informatica Power Center, Informatica Integrated Cloud Services, and data prep tools.
- Participate in or drive project activities such as requirements gathering, design, develop, test, and deploy.
- Assist in the set-up of, and administer, on premise and cloud tools used in the analytics infrastructure.
- Create and maintain necessary technical documentation, including requirements, design, and test documents.
- Identify emerging trends, processes, and techniques impacting analytics infrastructure and make suggestions for incorporation of these into the analytics infrastructure.
- • A Master’s or Bachelor’s degree in Computer Science, MIS, engineering, or a related technical discipline is required.
- • 5+ years of experience in data engineering, data warehousing, business intelligence, ETL on databases such as Oracle or SQL Server, and/or big data is required.
- • 3+ years of experience in ETL/ data integration is required with 2+ years of experience in Informatica PowerCenter, job scheduling tools is required.
- • Working experience in Python/R/Scala, Snowflake is required.
- • Hands on experience in writing and understanding complex SQL (e.g. CTE’s others).
- • Thorough understanding of relational database design and best practices, including dimensional (star, snowflake) models is required.
- • A collaborative working style and ability to work well within the team and with business consumers is required.
- • Ability to clearly communicate to technical and non-technical audience by written and verbal is required.
- • Independent analytical, critical thinking, and problem-solving ability in complex technical environments is required.
- Production experience in OBIEE, Oracle Analytics Cloud (OAC) and Tableau is nice to have.
- Familiarity with big data technologies such as Microsoft Azure Data or AWS is nice to have.
- • A Master’s or Bachelor’s degree in Computer Science, MIS, engineering, or a related technical discipline is required.
- • 5+ years of experience in data engineering, data warehousing, business intelligence, ETL on databases such as Oracle or SQL Server, and/or big data is required.
- • 3+ years of experience in ETL/ data integration is required with 2+ years of experience in Informatica PowerCenter, job scheduling tools is required.
- • Working experience in Python/R/Scala, Snowflake is required.
- • Hands on experience in writing and understanding complex SQL (e.g. CTE’s others).
- • Thorough understanding of relational database design and best practices, including dimensional (star, snowflake) models is required.
- • A collaborative working style and ability to work well within the team and with business consumers is required.
- • Ability to clearly communicate to technical and non-technical audience by written and verbal is required.
- • Independent analytical, critical thinking, and problem-solving ability in complex technical environments is required.
- Production experience in OBIEE, Oracle Analytics Cloud (OAC) and Tableau is nice to have.
- Familiarity with big data technologies such as Microsoft Azure Data or AWS is nice to have.
Vacancy expired!