Business Intelligence Engineer, DMA (Database Migration Accelerator)

Amazon Web Services
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Job Description

Amazon’s mission is to be the most customer centric company in the world. Database Migration Accelerator team helps our customers to migrate their solutions from legacy on-premise and cloud enterprise workloads into modern AWS native application architectures. This is accomplished through a variety of cutting edge tools, sophisticated engineering systems and database expertise. We provide fixed price and high speed migrations to the cloud. Database Migration Accelerator is combining various AWS cloud platform services into one product which would serve our customers.

We are a team of professionals that are forward-looking and using latest technology offerings (AWS cloud services, Machine Learning, Mathematical Optimization, Relational and NoSQL databases) to build new capability to operationalize and automate migration methodologies. Databases Services at AWS cover a range of data platforms including: Amazon Aurora, DynamoDB, Redshift, Athena, QuickSight as well as AWS Database Migration Service, Data Pipeline, Glue and more. As each service grows, so does adoption by customers world-wide.

We are looking for Business Intelligence Engineers to apply their talents on modernizing BI solutions, migrating them into AWS cloud. And also developing strong working relationships with other teams to analyze business demands and create automated solutions to accelerate migrations.

Joining the AWS Database Migration Accelerator team as a BI Engineer gives you the opportunity to:

  • Work for a company that’s at the forefront of the cloud computing space.
  • Be involved in the fast growing managed services space – help build new service offering from scratch.
  • Join the team whose activities are regularly called out publicly by our CEO Andy Jassy.
  • Work/Life Balance
  • Our team places value on work-life balance. Our team is global, based in the US, and Poland. Our Poland teams typically start later in the day to have a couple of hours of overlap with US teams.
  • Mentorship & Career Growth
  • Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Our senior engineers mentor more junior engineers through one-on-one mentoring and collaborative code reviews.
  • Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset.
  • Inclusive Team Culture
  • We get to build a really cool service and the mains contributing factor to our success is the inclusive and welcoming culture that we embody every day.
  • We welcome teammates who are enthusiastic, empathetic, curious, motivated, reliable, and able to collaborate with a diverse team of peers

As a BI Engineer you will:

  • Analyze reports and dashboards to determine the most appropriate migration strategies.
  • Leverage the latest technologies and products to convert legacy report layouts and KPIs calculations into modern AWS QuickSight solutions.
  • Identify and remediate technical obstacles to migrations.
  • Research and identify new opportunities for AWS to innovate on behalf of our customers.
  • Operate test and development environments in the cloud, run and analyze test results, perform diagnostics and troubleshooting, open, prioritize, and help triage defects, track and report test status and results.
  • Design solutions and tooling to execute automated report deployments, upgrades and migrations.

What makes this role different than all the others out there? Simple: scope. You get the opportunity to work with every product in AWS Services plus external customers ranging from the very small to the very large – everyone has data. You be working on a large number of complex migration projects and be given a lot of independence. This is a new focus area for AWS so you have the opportunity to put your stamp on it. Andy’s tweets on DB Freedom have been frequent – here’s your chance for visibility while delivering some results! Are you up for the challenge?

BASIC QUALIFICATIONS

  • B.S. degree in mathematics, statistics, computer science, finance, or a similar quantitative field
  • 2+ years’ work experience in BIE environment
  • Advanced SQL (analytical functions), ETL, Data Warehousing knowledge
  • Experience with BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, Cognos, PowerBI, Apache Superset, or other third-party tools)
  • Python scripting language knowledge

PREFERRED QUALIFICATIONS

  • Master’s or advanced technical degree with 5+ years of relevant experience in a business intelligence engineering role, including data warehousing and business intelligence tools, techniques and technology, and business analysis.
  • Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL and reporting/analytic tools and environments, and data structures.
  • Experience with AWS solutions such as EC2, DynamoDB, S3, Redshift, RDS, and Aurora Postgres
  • Knowledge of TensorFlow, Keras
  • Ability to deal with ambiguity in a fast-paced environment
  • Effective verbal/written communication skills and data presentation skills
  • Analytical mindset and ability to see the big picture and influence others
  • Ability to work on a diverse team or with a diverse range of coworkers
  • Knowledge of DB migration software and technologies

Company Info.

Amazon Web Services

Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).

  • Industry
    Information Technology
  • No. of Employees
    79,196
  • Location
    410 Terry Ave N, Seattle, WA, USA
  • Website
  • Jobs Posted

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