Data Engineer, Amazon Operations Finance Standardisation and Automation
Amazon
- Luxembourg
- CDI
- Temps-plein
- 3+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 3+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 2+ years experience in at least one scripting or programming language, such as Python, Scala, Ruby etc.
- Experience with Native AWS Tools and Technologies (S3, EMR , Glue , SNS,- SQS, Cloud watch, Event bridge, MWAA, lambda etc )
- Experience with MAWS Tools and Technologies used across CDO (Cradle , Data net , Andes etc )
- Experience managing competing priorities simultaneously and driving projects to completion
- Experience communicating to senior management and customers verbally and in writing
- Design, review and implement data solutions that support WW Operations Finance standardisation and automation initiatives using AWS technologies and internally built tools, including Spark/EMR, Redshift, Athena, DynamoDB, Lambda, S3, Glue, Lake Formation, etc;
- Ensure the speed of delivery and high-quality: iteratively improve development process and adopt mechanisms for optimisation of the development and support;
- Contribute into engineering excellence by reviewing design and code created by others;
- Contribute to delivery execution, planning, operational excellence, retrospectives, problem identification, and solution proposals.
- Evaluate various options in ambiguous situations using technical understanding ,deep dive and business acumen.
- Support data solutions adoption by both, finance and technical teams; identify and remove adoption blockers;
- Collaborate with finance analysts, engineers, product and program managers and external teams to influence and optimize the value of the delivery in data platform;
- Create technical and customer-facing documentation on the products within the platform;
- Perform ongoing product support ;
- Moderate travel (
You work with the Engineering, Product, BI and Operations teams to implement best-of-class data solutions for world wide operation finance organization. You solve unstructured customer pain points with technical solutions, you are focused on users productivity when working with the data. You participate in discussions with stakeholders to provide updates on project progress, gather feedback, and align on priorities. Utilizing AWS CDK and various AWS services, you design, execute, and deploy solutions. Your broader focus is on system architecture rather than individual pipelines. You regularly review your designs with Principal Engineer, incorporate gathered insights. Conscious of your impact on customers and infrastructure, you establish efficient development and change management processes to guarantee speed, quality and scalability of delivered solution.About the team
WW Operations Finance Standardization and Automation improves customer experience and business outcomes across Amazon Operations Finance through innovative technical solutions, standardization and automation of processes and use of cutting-edge technology.We are open to hiring candidates to work out of one of the following locations:Luxembourg, LUXPREFERRED QUALIFICATIONS
- 2+ years of processing data with a massively parallel technology (Spark or Hadoop based big data solution) experience
- Familiarity with data security and privacy frameworks ( GDPR , Kale ,Anvil, ASR etc)
- Experience of leading and influencing the data or BI strategy of your team
- Experience of hiring, developing and promoting engineering talent
- Experience of end to end managing delivery of data engineering solution