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875 Piktorlabs Jobs
Senior Data Engineer
Piktorlabs
posted 4hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Key Responsibilities:
- Data Pipeline Design & Architecture:
- Design and architect robust data pipelines for structured, semi-structured, and unstructured data.
- Develop and manage databases (RDMS, NoSQL, data lakes) to ensure data accessibility and integrity.
- ETL & Data Transformation:
- Implement efficient ETL processes using tools like PySpark and Hadoop to prepare data for analytics and AI use cases.
- Database Optimization:
- Optimize database performance through query tuning, indexing, and caching strategies using Azure and GCP caching databases.
- Monitor, maintain, and troubleshoot database infrastructure to ensure high availability and performance.
- CI/CD Pipelines & Version Control:
- Build and maintain CI/CD pipelines and manage YML files for efficient code integration and deployment.
- Use GitHub for version control and team collaboration.
- Containerized Deployment:
- Leverage Docker for containerized deployment, and manage database and pipeline processes with Docker commands.
- System Design & Best Practices:
- Ensure solutions follow best practices in system design, focusing on trade-offs, security, performance, and efficiency.
- Collaborate with engineering teams to design scalable solutions for large-scale data processing.
- Technology Research & Implementation:
- Stay updated with the latest database technologies and implement best practices for database design and management.
Qualifications:
- Experience:
- 4+ years of experience in database architecture and optimization.
- Proven expertise in RDMS, NoSQL, and semi-structured databases (e. g. , MySQL , PostgreSQL , MongoDB ).
- Technical Skills:
- Proficiency in programming languages for database integration and optimization ( Python preferred).
- Strong knowledge of distributed data processing tools like PySpark and Hadoop .
- Hands-on experience with AWS services for data storage and processing, including S3 .
- Strong familiarity with Redis for caching and query optimization.
- Experience with Docker for containerized deployment and writing CI/CD pipelines using YML files.
- Problem-Solving & Collaboration:
- Ability to collaborate effectively with engineering teams to design scalable data solutions.
- Strong problem-solving skills and attention to detail.
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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