DESCRIPTION

At Amazon Web Services (AWS), we are inventing the future of cloud computing with a team of builders who try new things and dream big. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses worldwide. Ten years ago, we couldn’t have imagined how far we would come. Now we’re inventing for the next ten years and beyond. But it is still Day 1 for us, and we are looking for curious people to be part of our diverse team of builders.

As a member of AWS SMGS DP&I team, you will shape the AWS business’s direction as a whole. You will build greenfield solutions from the ground up while using native AWS services and frameworks. The right candidate will have a robust system delivery background, well-rounded technical knowledge, and demonstrated experience working on large scale projects. The candidate must be customer-obsessed, have strong analytical and communication skills, enjoy working with native AWS services, and thrive on solving challenging business problems. The candidate should be comfortable working in an agile environment and collaborating with multiple teams.

You will be responsible for designing, building, and maintaining scalable, secure, and efficient data pipelines and infrastructure to support the organization’s data and analytics needs. This highly technical role requires expertise in data modeling, ETL processes and orchestration, data storage and security. You will work closely with other engineers, product managers, and business stakeholders to understand requirements and develop innovative solutions.

Sales, Marketing and Global Services (SMGS)
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
Key Responsibilities:

* Design and implement robust, fault-tolerant, and high-performing data pipelines using technologies such as Apache Spark, Kafka, Airflow, Databricks, etc.
* Build and optimize data storage systems to enable efficient data processing and analysis
* Create advanced data models, leveraging techniques like slowly changing dimensions, to support complex business requirements
* Automate data ingestion, transformation, and load processes to ensure reliable and timely data delivery
* Monitor data pipeline performance, identify bottlenecks, and implement optimization strategies
* Develop and maintain metadata management, data lineage, and data governance frameworks
* Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
* Mentor and train junior data engineers to develop their skills and expertise
* Stay up-to-date with the latest data engineering trends, tools, and best practices, and implement them when appropriate

About the team
ABOUT AWS:

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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 and 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.

BASIC QUALIFICATIONS

– This position requires a Bachelor’s Degree in Computer Science, Data Science, Engineering or related technical.
– 3+ years of work experience with ETL, Data Modeling, and Data Architecture.
– Expert-level skills in writing and optimizing SQL.
– Proficiency in one of the scripting languages – Python, JavaScript, Perl, or similar.
– Experience operating very large data warehouses or data lakes.

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)
– Experience with Big Data technologies such as Hive/Spark.
– Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases).
– Experience delivering end to end projects independently.

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 $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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

USA, WA, Seattle