AWS Data Platform Engineer Automation and Performance Optimization
AWS Data Platform Engineer Automation and Performance Optimization
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Job Description
Key Responsibilities:
Data Solutions Design and Implementation:
- Design implement and manage data solutions using AWS data services such as Amazon Redshift Amazon EMR Amazon Kinesis AWS Glue AWS Lake Formation and Amazon Athena.
- Ensure the architecture and design of the data platform meet business requirements for reliability availability and scalability.
Infrastructure Automation:
- Automate infrastructure provisioning deployment and scaling using AWS CloudFormation Terraform or other infrastructure as code (IaC) tools.
- Develop and implement data engineering best practices including continuous integration and delivery (CI/CD) pipelines for data platforms.
Performance Optimization:
- Monitor troubleshoot and optimize data platforms for performance issues.
Security and Compliance:
- Collaborate with security teams to implement and maintain data governance compliance and security policies.
Technical Guidance and Support:
- Provide technical guidance and support to other team members and stakeholders regarding data platform capabilities and best practices.
- Stay current with new AWS services and other data technologies evaluating their applicability to our goals and integrating them as appropriate.
Oncall Support:
- Participate in oncall rotations for supporting critical data platform operations.
Technical Skills:
Categorywise:
Cloud Services:
- Expertise in AWS data services (Amazon Redshift Amazon EMR Amazon Kinesis AWS Glue AWS Lake Formation Amazon Athena)
- Experience with infrastructure as code (IaC) tools (AWS CloudFormation Terraform)
Programming and Scripting:
- Proficiency in scripting languages such as Python Shell or similar for automation tasks
Data Management:
- Strong knowledge of SQL and experience in optimizing complex queries
- Understanding of data warehousing ETL processes and data modeling
- Familiarity with data pipeline and workflow management tools
DevOps and Security:
- Experience with DevOps practices and tools (e.g. Jenkins Git)
- Proficient in implementing security and compliance standards within AWS
Containerization and Big Data:
- Knowledge of containerization and orchestration services (e.g. Docker Kubernetes)
- Prior experience with big data technologies (e.g. Hadoop Spark)
DaytoDay Activities:
- Designing and developing scalable data solutions on AWS
- Automating infrastructure provisioning and deployment processes
- Monitoring and optimizing data platform performance
- Implementing security and compliance measures
- Collaborating with crossfunctional teams to provide technical support and guidance
- Staying updated with the latest AWS services and integrating them into existing solutions
- Participating in oncall rotations for critical data platform support
Qualifications:
- AWS certifications related to data services or solutions architecture
- Bachelors or Masters degree in Computer Science Engineering or a related field
Experience:
- At least 3 years of experience working with AWS data services and infrastructure
- Banking program experience (e.g. Data Mesh Large Enterprise data platforms)
Soft Skills:
- Excellent problemsolving skills and ability to work under pressure
- Strong communication and collaboration skills
- Ability to work in an Agile/Scrum development process
- Adaptability and willingness to learn new technologies
SYNECHRONS DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.
All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Employment Type
Full-Time
