Operations Finance Technology team, responsible for building technical solutions for multi-billion WW Operational Cost analytic including Inbound cost (Receiving / PO), variable Cost, fixed cost, outbound (Customer Shipments / Transportation), and Customer Service, is looking for a Senior Data Engineer.
As a Data Engineer, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments.
You will work closely with the business teams in analysis on various cost savings initiatives, many non-standard and unique business problems and use creative-problem solving to deliver actionable output.
You will be responsible for designing and implementing an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.
You will have an opportunity to work with leading edge technologies like Redshift, Hadoop / Hive / Pig. You will be writing scalable queries and tuning performance on queries running over billion of rows of data.
You should be analytical, have an extremely high level of customer focus and a passion for process improvement. You should be motivated self-starter that can work independently in a fast paced, ambiguous environment.
You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions.
Bachelor’s degree in Computer Science or related field
4+ years relevant experience
Expertise with SQL and relational database systems
Knowledge of data warehousing concepts.
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
Proficiency with Linux and systems administration
Proven ability at looking at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams.
Ability to work with shifting deadlines in a fast paced environment.
5+ years professional experience in software development with Master's or Ph.D. in Computer Science.
4+ years experience developing end-to-end Business Intelligence solutions : data modeling, ETL and reporting
3+ years experience with SQL, SQL Tuning, Oracle, OLAP, Big Data Technologies
Practical Knowledge of Linux or Unix shell scripting
Experience in working with business customers to drive requirements analysis
Exposure to large databases, BI applications, data quality and performance tuning
Excellent written and spoken communication skills
Experience with Hadoop-based technologies such as HBase, Pig, Hive and Spark
Strong proven ability in building high-performance, highly available and scalable data solutions using Oracle and / or Hadoop-based technologies
Experience with Java and experience with scripting languages like Perl, Python, Unix shell scripts,VBA and MS Excel
Strong sense of ownership, urgency, and drive
Strong troubleshooting and problem solving skills
Experience with Amazon Web Services
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age