JOB TITLE: SENIOR DATA ENGINEER ONSITE

LOCATION: SEATTLE, WA

LONG TERM CONTRACT(1YR )

PAY RANGE: AS PER MARKET

ENGAGEMENT TYPE: W2/1099/C2C

Core skills: Advanced SQL, AWS Redshift, Apache Spark, Data deep dive, Effective communication with stakeholders, autonomous project execution.

Profiles with FAANG (Facebook/Meta, Amazon, Apple, Netflix, Google/Alphabet) style company experience preferred.

We're looking for experienced consultants with at least 10 years of real work experience. We only want genuine profiles, so please make sure your LinkedIn profile reflects your relevant experience. Also, please avoid submitting lengthy resumes that are common in the industry with 8 and 9 years of typical bench marketed resumes.

As a Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud) . You should be an expert in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions.

The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform.

Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics. In this role you will be part of a team of engineers to create world's largest financial data warehouses and BI tools for client's expanding global footprint.

Key job responsibilities

* Design, implement, and support a platform providing secured access to large datasets.

* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.

* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

* Tune application and query performance using profiling tools and SQL.

* Analyze and solve problems at their root, stepping back to understand the broader context.

* Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.

* Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.

* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.

* Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Core skills: Advanced SQL, AWS Redshift, Apache Spark, Data deep dive, Effective communication with stakeholders, autonomous project execution.

We're looking for experienced consultants with at least 10 years of real work experience. We only want genuine profiles, so please make sure your LinkedIn profile reflects your relevant experience. Also, please avoid submitting lengthy resumes that are common in the industry with 8 and 9 years of typical bench marketed resumes.