W2 AWS Data Engineer | Local to WA
Redmond, WA - USA
Job Summary
Client:Accenture/Amazon
Location:-Redmond WA
Work Arrangement:Onsite 5 days per week
Duration:12 months
Employment Type:W2 Contract
Pay Rate:$80$87/hour W2 (No C2C)
Experience:58 years
Work Authorization:U.S. Citizen or Green Card holder only. No sponsorship is available for this position.
Position Overview
Accenture is seeking an experienced Business Intelligence Engineer (BIE) / AWS Data Engineer to design build and maintain automated AWS data pipelines supporting analytics KPI reporting and business intelligence.
This is a hands-on engineering role requiring strong experience with AWS data services Python SQL ETL and API integrations. The engineer will integrate data from multiple enterprise applications and APIs transform and model that data within AWS and make it available for KPI reporting and dashboards.
The ideal candidate combines strong data engineering capabilities with enough business intelligence experience to understand how the data will ultimately be consumed by business stakeholders.
Key Responsibilities
- Design build and maintain scalable AWS data pipelines.
- Develop automated ETL/ELT processes using AWS services.
- Integrate data from multiple REST APIs SaaS applications and enterprise systems.
- Work with Amazon S3 AWS Glue Redshift and/or Athena Lambda and IAM.
- Develop Python-based data ingestion transformation and automation processes.
- Write advanced SQL for data transformation validation modeling and analysis.
- Build integrations with platforms such as Jira Smartsheet Qualtrics or similar systems.
- Develop analytical datasets supporting operational reporting and business KPIs.
- Design and maintain dashboards using Tableau Amazon QuickSight Power BI or similar BI tools.
- Partner with business and technical stakeholders to define KPIs reporting requirements and data definitions.
- Implement data quality monitoring security and access-control practices.
- Apply data governance principles including IAM security access controls and data-retention policies.
- Troubleshoot pipeline API integration performance and data-quality issues.
- Document data sources integrations transformations dependencies and reporting logic.
- 58 years of Data Engineering Business Intelligence Engineering Analytics Engineering or related experience.
- Strong hands-on AWS data engineering experience.
- Strong experience withAmazon S3andAWS Glue/ETL.
- Experience withAmazon Redshift and/or Athena.
- Experience withAWS Lambda and IAM.
- Advanced SQL skills.
- Strong Python development skills for data engineering and automation.
- Proven experience building automateddata pipelines.
- Hands-on experience integrating multipleREST APIs or SaaS applications.
- Experience working withREST APIs JSON authentication pagination error handling and automated ingestion.
- Experience defining or supporting business KPIs and analytical datasets.
- Experience withTableau Amazon QuickSight Power BI or comparable BI/dashboard technology.
- Understanding of data governance security access controls and retention requirements.
- Ability to work onsite in Redmond WA five days per week.
- Must be a U.S. Citizen or Green Card holder. Sponsorship is not available.
- Direct API integration experience withJira Smartsheet or Qualtrics.
- Experience with multipleBI platforms including Tableau QuickSight or Power BI.
- Experience consolidating data from multiple enterprise systems into centralized analytical datasets.
- Experience working in large enterprise or consulting environments.
- Experience working directly with business stakeholders to translate reporting requirements into technical data solutions.
- This isnot primarily a dashboard developer or BI analyst position.
- Accenture is looking for a hands-on engineer who can take data from APIs and enterprise applications automate ingestion into AWS transform and model the data using Python and SQL implement appropriate security and governance controls and deliver datasets that support KPI reporting and dashboards.
- Candidates whose experience is primarily Tableau or Power BI development without strong AWS data engineering and API integration experience will not be a fit.
Required Experience:
Manager
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