Data Engineer II, Product BI

Amazon • Seattle, WA

12d • $132,100 - $178,800 • Onsite

About The Position

We provide product innovations from foundational services such as Amazon Elastic Compute Cloud (EC2), Redshift Serverless, Containers (ECS, EKS) and other Streaming services to consistently release new product innovations/drive insights that continue to set AWS’s services and features apart in the industry. We are customer obsessed and focus on building innovation. We build data products to simplify our customer's problems, bring operational and technical efficiency. We need to be able to build scalable solutions for ever growing data , be compliant and adopt to diverse business needs.

Requirements

• 5+ years of data engineering experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
• Experience with data modeling, warehousing and building ETL pipelines

Nice To Haves

• 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)

Responsibilities

• Develop and operate large-scale data structures for business intelligence analytics using ETL/ELT processes.
• Develop and operate large-scale data structures for business intelligence analytics using OLAP technologies.
• Develop and operate large-scale data structures for business intelligence analytics using data modeling.
• Develop and operate large-scale data structures for business intelligence analytics using SQL.
• Develop and operate large-scale data structures for business intelligence analytics using Oracle.
• Build data products to simplify customer problems and bring operational and technical efficiency.
• Build scalable solutions for growing data, ensure compliance, and adapt to diverse business needs.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed