Data Engineer Associate
hace 7 días
• Responsibilities:
As a Data Engineer Associate, you will be responsible for providing day-to-day support and operations of the ETL jobs. You will work with various data storage technologies, including SQL and ETL technologies, to maintain and support the data pipelines that clean, aggregate, and organize data from different sources and load them into databases or data warehouses/lakes.
• Key Accountabilities:
Ability to resolve highly complex, multi-faceted problems to meet business needs, provide recommendations on the design and methodologies, system solutions. Provide business support to all units globally, including new and existing portfolios, ad hoc queries, and assisting with the design and implementation of systems enhancements. Ensure that management is kept informed, and that problems and issues are escalated appropriately. Provide input to the continuous improvement of processes and adopting latest technologies and methodologies. Provide L1/L2/L3 support for ETL processes built on SSIS, DataStage, and PLSQL. Ability to liaise with different teams to fix data quality issues. Co-ordinate and follow up with various other teams, vendors, and third parties for issue resolution. Work with Infrastructure teams to co-ordinate infrastructure/environment related upgrades, patches, and migration activities. Ensure the documentation of issues, solutions, root cause, and findings for use in future problem resolutions. Development techniques, such as debugging, testing, coding, and use of version control tools like TFS. Performance tuning skills are considered to be an asset. Cloud platform knowledge of Azure is good to have.
• Requirements:
Bachelor's degree in computer science, Information Technology, Engineering, or a related field is preferred. A minimum of 3 years' IT industry experience and 3 years' experience in an ETL (Extract Transform Load) role is essential. Strong working experience with Microsoft BI tools - SSIS, SSRS, SSAS, Power BI, DataStage. Working knowledge of computing platforms, such as Windows and Linux. Strong experience in Data Warehousing methodologies and concepts like Inmon and Kimball. Experienced in creating Database objects like - Procedures, Functions, Triggers, Views, Jobs. Advance knowledge on working with different types of datasets - CSV, XML, JSON. Experience in Object-oriented programming (C# with .Net) and SQL programming language. Strong experience in on-premise relational Database technologies like MS-SQL Server. Networking, communications, on-line transaction processing (OLTP) technology. Azure Data Factory. Development techniques, such as debugging, testing, coding, use of version control tools like TFS. Performance tuning skills are a must. English level required B1. Cloud platform knowledge of Azure is good to have.
• Working Conditions:
The incumbent must be fluent in English and Spanish (oral and written). The position requires concentrated use of sight and touch at a computer terminal on average 5 - 6 hours/day. The incumbent must work under tight deadlines, conflicting priorities, and changing project requirements. The incumbent must be able to react quickly to resolve problems and work overtime outside office hours on occasion to meet SLAs to resolve issues.
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