
AWS Senior Data Engineer
3 days ago
Are you a seasoned data expert looking to design and implement scalable, high-performance data architectures on AWS?
- Key Responsibilities:
- Design end-to-end data architectures using AWS-native services such as Glue, Redshift, Athena, EMR, S3, Lambda, Kinesis, DynamoDB, and RDS.
- Architect and implement data lakes, data warehouses, and ETL/ELT pipelines following best practices for scalability, performance, and cost optimization.
- Define and implement data governance, security, access controls, and data lifecycle management in AWS.
- Collaborate with cross-functional teams to ensure data solutions align with business needs.
- Evaluate and recommend new tools and technologies in the AWS ecosystem to improve data infrastructure.
- Support data modeling, data integration, and metadata management.
- Develop comprehensive documentation, architecture diagrams, and data flow diagrams to support ongoing development and operations.
Required Skills and Qualifications:
- 8-10 years of experience in designing and implementing large-scale data architectures on AWS.
- Proven track record of delivering high-quality data solutions that meet business requirements.
- Strong understanding of AWS native services and their applications in data architecture.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced environment and adapt to changing requirements.
Benefits:
- Opportunity to work with a talented team of data professionals.
- Chance to develop and implement innovative data solutions.
- Competitive compensation and benefits package.
Others:
- Experience working with cloud-based technologies.
- Knowledge of data governance, security, and compliance regulations.
- Familiarity with agile development methodologies.
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