Description

People Analytics, Technology, Operational Excellence team (PATOE) is looking for an experienced Data Engineer to maintain and enhance current data environment while providing, maintaining, and distributing data to a global team.

As a Data Engineer, you will need to review technical design, develop and enhance data systems and pipelines supporting process optimization in business intelligence activities in PATOE, as well as integrate in-house data infrastructure with partner systems.

You should be an advanced in the architecture of data warehousing solutions, using multiple platforms / tech. In addition, you should have strong analytical skills and excel in the design, creation, management, and business use of large data sets, combining raw information from different sources. On top of that, you should have excellent communication skills and ability to adjust communication to different groups of stakeholders in order to be able to work with business analysts and engineers to determine how best to design the data management setup

Main Responsibilities include:

• Designing, implementing, and supporting scalable systems to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day business decision making

• Work closely with business owners, product managers, Business Intelligence Engineers to explore new data sources and deliver the data

• Interface with other teams to extract, transform, and load data from a wide variety of data sources using AWS big data technologies

• Own end-to-end process from data analysis, data extraction, data ingestion, data cleaning and manipulation and delivering the data for reporting

• Build robust and scalable data integration (ETL) pipelines using SQL, Python, Spark and AWS services.

• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies

• Create automated alarming and dashboards to monitor data integrity.

• Collaborate with TDT engineers and evaluate internal processes, approaches, and technical systems to establish highest standards and ensure safety for our associates and leaders

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Bellevue, WA, USA | Chicago, IL, USA | Nashville, TN, USA | New York, NY, USA | Seattle, WA, USA

Basic Qualifications

• 3+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with SQL

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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 $105,700/year in our lowest geographic market up to $205,600/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.