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Staff Data Engineer -- at Remote, Remote, USA
Email: [email protected]
Staff Data Engineer

Need only Locals to Texas -

Responsibilities:

Data Architecture:
 Design, develop, and maintain scalable data architectures and pipelines on AWS to support data analytics and business intelligence.

ETL Processes:
 Build and manage ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.

Data Integration:
 Integrate data from multiple sources, ensuring data quality, consistency, and security.

Performance Optimization:
 Optimize data processing workflows for performance, scalability, and cost-efficiency.

Collaboration:
 Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

Monitoring:
 Implement monitoring and alerting systems to ensure data pipeline reliability and performance.

Documentation:
 Maintain comprehensive documentation of data architectures, pipelines, and processes.

Qualifications:

Education:
 Bachelor/Masters degree in computer science, Engineering, or a related field.

Experience:

10+ years of experience in data engineering, with a focus on AWS-based solutions.

Proven experience in designing and implementing data pipelines and architectures.

Technical Skills:

AWS Services:
 Proficiency in AWS services such as S3, Redshift, Glue, Lambda, EMR, and RDS.

Programming Languages:
 Strong programming skills in Python.

Big Data Technologies:
 Experience with big data technologies like Hadoop, Spark, and Kafka.

Database Management:
 Proficiency in SQL and NoSQL databases.

Data Modeling:
 Strong understanding of data modeling, data warehousing, and data lake concepts.

DevOps:
 Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins).

Security:
 Knowledge of data security best practices and compliance requirements.

Certifications:

AWS Certified Data Engineer - Associate

AWS Certified Data Analytics Specialty

Soft Skills:

Problem-Solving:
 Strong analytical and problem-solving skills.

Communication:
 Excellent communication and interpersonal skills to interact with various stakeholders.

Teamwork:
 Ability to work effectively in a collaborative team environment.

Adaptability:
 Flexibility to adapt to changing business requirements and technologies.

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Keywords: sthree information technology
Staff Data Engineer --
[email protected]
[email protected]
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Wed Oct 16 20:13:00 UTC 2024

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