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Job Requirements of AWS Big data Architect:
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Employment Type:
Full-Time
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Location:
Atlanta, GA (Onsite)
Do you meet the requirements for this job?
AWS Big data Architect
Immediate need for a talented AWS Big data Architect. This is a Fulltime opportunity with long-term potential and is located in Atlanta, GA (Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID: 24-25957
Pay Range: $140k - $160k/Annum. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- Design, architect, and implement end-to-end data engineering solutions on the AWS platform.
- Develop scalable and efficient data pipelines to ingest, process, and analyze large volumes of data from various sources.
- Collaborate with cross-functional teams including data scientists, business analysts, and software engineers to understand data requirements and design appropriate solutions.
- Implement best practices for data governance, security, and compliance in alignment with industry standards and regulations.
- Optimize data storage, processing, and retrieval mechanisms for performance and cost-efficiency.
- Automate deployment, monitoring, and maintenance tasks using AWS services such as AWS Glue, AWS Lambda, Amazon EMR, etc.
- Conduct performance tuning and optimization of data processing workflows to ensure high availability and reliability.
- Stay up-to-date with the latest AWS technologies and trends in data engineering and analytics.
Key Requirements and Technology Experience:
- Key Skills; Big data, AWS services and Data engineering
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Proven experience as a Data Engineer, Data Architect, or similar role with a focus on AWS technologies.
- In-depth knowledge of AWS services such as S3, Glue, EMR, Redshift, Athena, Kinesis, etc.
- Strong programming skills in languages such as Python, Scala, or Java.
- Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop, etc.
- Experience with SQL and NoSQL databases for data storage and retrieval.
- Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes is a plus.
- Excellent problem-solving and communication skills with the ability to work effectively in a fast-paced environment.
Our client is a leading Utilities Industry, and we are currently interviewing to fill this and other similar fulltime positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.