Easter Seals Jobs

Description

Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you love bringing data together from diverse systems and working on innovative analytics problems for creating deep understanding of customer behavior and generating actionable business insights?

The Amazon Smart Vehicles organization is seeking a self-driven Data Engineer to join our team. In this role, you will be building complex data engineering and business intelligence applications using AWS technologies to support our growing smart vehicle business.

As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting-edge AWS big data technologies.

Key job responsibilities

• Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and AWS big data technologies.

• Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination.

• Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.

• Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineers to explore new data sources and deliver the data.

• Read, write, and debug data processing and orchestration code written in Python/Scala following best coding standards.

Basic Qualifications

• 1+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)

• Experience with one or more scripting language (e.g., Python, KornShell)

• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets

• Bachelor's degree

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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

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 $91,200/year in our lowest geographic market up to $185,000/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.