Akraya Inc.
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http://www.akraya.com
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Data Engineer: 24-02695
Posted: 09/30/2024
2024-09-30
2024-11-03
Job Category: Data Engineering, Big Data & Hadoop
Job Number: 22964503
Job Description
Primary Skills: Data Engineering (Expert), AWS (Intermediate), SQL (Advanced), Python (Advanced), Data Modeling (Advanced)
Contract Type: W2
Duration: 6 Months
Location: Austin, TX (Hybrid)
Pay Range: $50.00 - $57.00 Per Hour
JOB SUMMARY:
We are seeking a highly skilled and experienced Senior Data Engineer to join our Marketing Insights team, responsible for shaping our data architecture and enabling data-driven decisions across the organization. This pivotal role involves the design, development, and maintenance of scalable data pipelines and storage solutions, ensuring data quality and accessibility for supporting analytics and reporting needs. Emphasis will be on implementing efficient, automated, and scalable data handling processes while ensuring data security and compliance standards are met.
JOB RESPONSIBILITIES:
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in IT Staffing
As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
Contract Type: W2
Duration: 6 Months
Location: Austin, TX (Hybrid)
Pay Range: $50.00 - $57.00 Per Hour
JOB SUMMARY:
We are seeking a highly skilled and experienced Senior Data Engineer to join our Marketing Insights team, responsible for shaping our data architecture and enabling data-driven decisions across the organization. This pivotal role involves the design, development, and maintenance of scalable data pipelines and storage solutions, ensuring data quality and accessibility for supporting analytics and reporting needs. Emphasis will be on implementing efficient, automated, and scalable data handling processes while ensuring data security and compliance standards are met.
JOB RESPONSIBILITIES:
- Architect, build, and maintain scalable and fault-tolerant data pipelines, ensuring efficient data extraction, transformation, and loading (ETL).
- Implement data storage solutions, leveraging AWS technologies, to support analytical and reporting workloads.
- Develop and support analytics technologies, providing structured data access to business users for timely insights.
- Design and maintain data models and ETL processes, collaborating with business analysts to meet their data requirements.
- Ensure data governance, implementing robust access control, encryption, and auditing protocols to maintain data security and compliance.
- Proficiency in AWS services (e.g., Redshift, S3, AWS Glue).
- Expertise in SQL and data modeling techniques.
- Experience in building and maintaining ETL pipelines, Data modelling, data warehousing ETL, Scripting. Orchestration, Taxonomy
- Experince in Python.
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in IT Staffing
As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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