Amazon

The role operates in a fast-paced, global, results-oriented environment, and will have the opportunity to influence a multi-year finance transformation effort.. This role provides the perfect opportunity for a developer to continue their career development on a wide variety of green fields projects and expand their skill set into other technologies within the AWS stack and other technologies like Python, TM1 and TMPy.. Experience building OLAP based solutions leveraging TM1, Essbase, Kylin, or similar technologies. Manage AWS resources including Redshift, Lambda, Glue, and Step Functions.. Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

financial reporting

Description Amazon seeks an experienced Data Engineer to play a key role in the development and implementation of a comprehensive financial reporting platform to support the Worldwide Amazon Stores. The successful candidate will have a proven track record of developing integrated financial reporting tools and platforms. The role operates in a fast-paced, global, results-oriented environment, and will have the opportunity to influence a multi-year finance transformation effort. As part of a Worldwide stores team, you will be given the tools and exposure to help drive change in one of the fastest growing, largest and most complex supply chains in the world. This role provides the perfect opportunity for a developer to continue their career development on a wide variety of green fields projects and expand their skill set into other technologies within the AWS stack and other technologies like Python, TM1 and TMPy. Key job responsibilities <ul><li> Design and implementation of financial data solutions, ensuring the overall architecture meets customer needs</li><li> Experience building OLAP based solutions leveraging TM1, Essbase, Kylin, or similar technologies</li><li> Experience developing data transformations using python, pyspark, scala, etc</li><li> Manage AWS resources including Redshift, Lambda, Glue, and Step Functions.</li><li> Interface with other technology teams to extract, transform, and load data from wide variety of data sources</li><li> Continually improve ongoing reporting and analysis processes, including automating or simplifying self-service support for customers.</li><li> Collaborate with business users to dive deep and understand what they need to support their work</li><li> Diagnose and resolve operational issues, perform detailed root cause analysis, and respond to suggestions for enhancements.</li><li> Identify process improvement opportunities to drive innovation </li></ul>Basic Qualifications <ul><li> 5+ years of data engineering experience</li><li> Experience with data modeling, warehousing and building ETL pipelines</li><li> Experience with SQL</li><li> Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li> Experience mentoring team members on best practices </li></ul>Preferred Qualifications <ul><li> Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li> Experience operating large data warehouses </li></ul>Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Company - Amazon.com Services LLC Job ID: A2704145

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