BigData Engineer II, DP&I

3 days ago


Seattle, Washington, United States Amazon Full time

BigData Engineer II, DP&I - D&A - Revenue
Job ID: | Amazon Web Services, Inc.
DESCRIPTION
The AWS Sales, Marketing, and Global Services Operations (SMGS Ops) Revenue team is responsible for publishing critical revenue datasets including Daily Estimated Revenue (DER), Planning Revenue and monthly Amortized Sales Revenue (ASR). DER and ASR are used by downstream customers in AWS Finance, Accounting, Sales Operations, Segmentation & Planning (S&P), Data & Analytics and Compensation to set quotas, manage sales goals, forecast, and derive business insights. We collect and process billions of usage and billing transactions every single day and relate it to the largest data feed supported by We transform this raw data into actionable information in the Data Lake and make it available to our internal service owners to analyze their business and service our external customers.

We are truly leading the way to disrupt the bigdata industry. We are accomplishing this vision by bringing to bear BigData technologies like Elastic Map Reduce (EMR) in addition to data warehouse technologies like Spectrum to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services.

You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Key job responsibilities
- This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of related employment experience.
- 5+ years of work experience with ETL, Data Modeling, and Data Architecture.
- Expert-level skills in writing and optimizing SQL.
- Experience with Bigdata technologies such as Hive/Spark.
- Proficiency in one of the scripting languages - python, ruby, linux or similar.
- Experience operating very large data warehouses or data lakes.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

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

Dallas, TX, USA | Seattle, WA, USA

BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree

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)



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