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Data Science Specialist - Python, AWS Services, CI/CD
Piktorlabs
posted 6hr ago
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Flexible timing
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Job Description
In this role, you will leverage a variety of AWS services (including AWS Glue , Lambda , S3 , EC2 , RDS , and more) and focus on Infrastructure as Code (IaC) using AWS CDK to automate the provisioning of cloud resources. You will also mentor junior engineers, ensuring their growth while contributing to the evolution of our architecture.
Key Responsibilities:
- Backend Development : Design, build, and maintain scalable, high-performance backend applications using Python .
- AWS Architecture : Utilize a variety of AWS services to design robust, scalable, and efficient cloud architectures.
- Infrastructure as Code (IaC) : Use AWS CDK to automate infrastructure provisioning and manage cloud resources efficiently.
- Data Pipelines : Develop and manage data pipelines with AWS Glue for ETL (Extract, Transform, Load) processes, ensuring data availability for analytics.
- CI/CD : Implement and manage CI/CD pipelines for rapid deployment, ensuring minimal downtime with new features and updates.
- API Design : Build and expose RESTful APIs for seamless communication between services and frontend components.
- Collaboration : Work closely with product managers , frontend engineers , and other stakeholders to deliver reliable software features.
- Security & Performance : Follow security best practices and optimize performance through code profiling, troubleshooting, and monitoring.
- Mentorship : Mentor junior developers, conduct code reviews, and promote a culture of continuous learning and improvement.
Skills & Qualifications:
Must-Have:
- backend development experience with a strong focus on Python .
- Expertise in AWS services such as AWS Glue , Lambda , S3 , EC2 , RDS , and other AWS tools.
- Proven experience in designing and managing data pipelines , particularly using AWS Glue .
- Experience with Infrastructure as Code (IaC) using AWS CDK or similar frameworks ( Terraform ).
- Solid understanding of CI/CD processes and tools (e.g., Jenkins , GitLab CI , AWS CodePipeline ).
- Strong experience with RESTful API design and API integrations.
- Familiarity with cloud security best practices (e.g., IAM , encryption, secure networking).
- Strong debugging, performance tuning, and troubleshooting skills in distributed cloud environments .
- Proficient with version control (e.g., Git ).
- Excellent communication and collaboration skills.
Nice-to-Have:
- Advanced experience with AWS Glue and complex ETL pipeline design.
- Familiarity with event-driven architectures (e.g., SNS , SQS , Kinesis ).
- Knowledge of containerization technologies (e.g., Docker , Kubernetes ).
- Experience with NoSQL databases like DynamoDB or MongoDB .
- Familiarity with serverless architectures (e.g., AWS Lambda ).
- Understanding of data warehousing solutions and integration with AWS data lakes .
Employment Type: Full Time, Permanent
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based on 12 employees
Flexible timing
Monday to Friday
No travel
Day Shift
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