Data Engineer II, Amazon Key

Amazon; New York (NY); On-site; USD 118,000 - 206,000; Full time

Job summary

An established industry player is seeking a passionate Data Engineer to join their innovative team. In this role, you will leverage your expertise in data engineering to design, create, and manage complex datasets while developing scalable solutions. You will collaborate with cross-functional teams to solve unique business challenges and deliver actionable insights. This position offers the opportunity to work with cutting-edge cloud technologies and contribute to the development of next-generation smart delivery operations. If you are driven by data and eager to make an impact, this is the perfect opportunity for you.

Benefits

Equity options

Sign-on bonuses

Comprehensive medical benefits

Flexible work arrangements

Qualifications

• 3+ years of data engineering experience with a focus on large datasets.
• Proficient in SQL and experienced in building ETL pipelines.

Responsibilities

• Develop and enhance data management solutions for reporting tools.
• Build high-quality data solutions to support data scientists and analysts.

Skills

Data Engineering

SQL

Python

ETL Pipelines

Data Modeling

Data Warehousing

R

Bash

Education

Bachelor's degree

Master's degree in relevant field

Tools

AWS Redshift

AWS S3

AWS Glue

EMR

Kinesis

FireHose

Lambda

Job description

Job ID: 2940781 | Amazon.com Services LLC

We are actively seeking a motivated and multi-talented individual who is passionate, highly autonomous and has deep expertise in the design, creation, and management of large and complex datasets. You should be an authority at crafting, implementing, and operating stable, scalable solutions to flow huge amounts of data from production systems into the Redshift cluster, and build complex transforms to compute and store new data developed by the software teams.

Key job responsibilities
As Data Engineer, you develop, review technical design of and enhance data management solutions supporting the reporting Tools. You should excel in the design, creation, management, and business use of large data sets, deliver data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.

A day in the life

1. Develop new data engineering patterns that leverage new cloud architectures
2. Build and deliver high quality data solutions to support data scientists, engineers and analysts.
3. Interface with software development teams to extract, transform, and load data from a wide variety of data sources.
4. You will work closely with the Business Intelligence Engineers, Product Managers, Software Development teams and other business stakeholders on many non-standard and unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage.

About the team

Amazon Key team’s mission is to provide Amazon with 1-click access to every customer's doorstep. We are inventing the next-generation smart delivery operation technologies in IoT (Internet-of-Things). We develop technology-based solutions matching customer needs and delivery capacity with precision and efficiency, and expanding and transforming delivery experience with unprecedented quality, productivity and scale.

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Bachelor's degree
- 3+ years of non-internship professional industry experience in software development, data engineering or related field with a track record of manipulating, processing, and extracting value from large datasets
- Experience in one or more of: Python, R, Bash, or other scripting language

PREFERRED QUALIFICATIONS

- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 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)
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Strong business acumen, proven ability to influence others, strong attention to detail, excellent organization skills, and ability to manage multiple projects

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/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 here.