We are currently seeking a talented individual to join our client, Talent XO.
Location: Arekere, Bengaluru
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Role & Responsibilities
- Creating and maintaining scalable data pipelines and ETL processes to manage data from various sources.
- Overseeing data infrastructure on AWS for high availability, scalability, and security.
- Developing and optimizing basic SQL queries and scripts for efficient data retrieval and transformation.
- Engaging with stakeholders to understand data requirements and deliver tailored solutions.
- Automating data workflows and pipeline deployments using DevOps tools and best practices.
- Monitoring and resolving issues in data pipelines, ensuring continuous improvement.
- Documenting data workflows, processes, and infrastructure.
- Implementing basic data security and compliance best practices.
- Utilizing MongoDB for specific data storage and retrieval tasks as necessary.
Ideal Candidate
- Minimum 1 year of experience as a DevOps Engineer.
- Basic proficiency in Python for data processing and automation.
- Familiarity with AWS services like S3, Redshift, Lambda, Glue, and others related to data engineering.
- Basic knowledge of MongoDB, NoSQL, or SQL databases is advantageous.
- Strong problem-solving skills and attention to detail.
Good To Have
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Knowledge of other cloud platforms (e.g., Google Cloud Platform).
- Understanding of data visualization tools and techniques.
Skills: etl processes,docker,sql,aws,python,kubernetes,nosql,problem-solving,data workflows,devops,data pipelines,pipelines,data,mongodb
