Data Engineer IV
Position: Data Engineer IV
Location: Seattle, WA 98101
Duration: 24 Months
Job Type: Contract
Work Type: Onsite
Client is looking for a Data Engineer to join the Infrastructure Automation team.
Client has over 70 million customers, and developers all over the world rely on our storage, compute, and virtualized services via Amazon Web Services.
Our success depends on our world-class network and hardware infrastructure; we’re handling massive scale and rapid integration of emergent technologies.
Our goal is to become “The Infrastructure Platform” for the world.
The Infrastructure Automation team is responsible for delivering the software that powers our infrastructure.
Responsibilities
As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.
You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards in Oracle BI Enterprise Edition (OBIEE).
You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
Required Skills & Experience
7+ years of related experience.
Very Strong development experience with notable BI reporting tools (Oracle BI Enterprise Edition (OBIEE)).
Should have experience developing complex and a variety of reports.
A good candidate has strong analytical skills and enjoys working with large complex data sets.
Good knowledge of SQL
A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.
Preferred
Strong OBIEE reporting experience
SQL skills
Typical Day in the Role:
Daily Schedule: 9-5 PST
Interaction with team/Day to Day:
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with Apache Spark / Elastic Map Reduce
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
Experience working on and delivering end to end projects independently
Years of Experience:
3+
Degree or Certification:
Bachelors Degree
Top 3 must-have hard skills
AWS Services
Programming Language skills (Preferred Python or Scala)
Data Technologies
Average salary estimate
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