22 SAPBOT Technologies Jobs
Python DevOps Engineer - Linux OS (5-9 yrs)
SAPBOT Technologies
posted 2mon ago
Senior Developer / Technical Lead
STRICTLY NEED RESOURCE WITH LINUX BACKGROUND. NO INSTITUTION TRAINING.
Years of Exp . - Min 5+ years
Primary Skill - Python DevOps
Project type - Development
Shift involved - 12 to 9 P.M IST
Key Responsibilities :
- Data Pipeline Development : Design, develop, and optimize scalable, robust, and reliable data pipelines using Python and other relevant technologies.
- ETL Processes : Implement and maintain ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
- Data Integration : Work with APIs, third-party data providers, and internal data sources to integrate and manage data efficiently.
- Database Management : Design and maintain relational and non-relational databases (e.g., SQL, NoSQL).
- Performance Optimization : Monitor, troubleshoot, and improve the performance of data pipelines and infrastructure.
- Collaboration : Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and ensure data quality.
- Data Governance : Implement data validation, data quality checks, and ensure compliance with data governance and security policies.
- Automation : Identify opportunities for automation to improve data processes and workflows.
Skills and Qualifications :
Technical Skills :
- Proficiency in Python, including libraries such as Pandas, NumPy, PySpark, or Dask.
- Experience with big data frameworks like Hadoop, Spark, or Kafka is a plus.
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their data services.
- Hands-on experience with databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Proficiency in using workflow orchestration tools like Apache Airflow or Luigi.
Soft Skills :
- Strong problem-solving and analytical skills.
Skill :
- DevOps / Jenkins- 5/5
- DevOps / Groovy- 5/5
- DevOps / Docker- 5/5
- DevOps / GIT- 4/5
- Python scripting- 3/5
- DevOps / Gradle- 4/5
- Communication- 5/5
- Problem Solving- 5/5
Functional Areas: Software/Testing/Networking
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