DESCRIPTION

Job summary
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 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.

BASIC QUALIFICATIONS

3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL

PREFERRED QUALIFICATIONS

Bachelors in Computer Science or related field
5+ years experience with SQL, SQL Tuning, Oracle, OLAP, Big Data Technologies
Experience with Java and experience with scripting languages like Perl, Python, Unix shell scripts, VBA and MS Excel
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
Experience with Amazon Web Services
Knowledge of data warehousing concepts.
Strong sense of ownership, urgency, and drive
Strong troubleshooting and problem solving skills
Proven ability at looking at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
Excellent 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.
Able to work in a diverse team

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.