- Job Description
Job type
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Contractual / Temporary
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Full-time
Shift and schedule
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Day shift
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UK shift
Full job description
Job Title: Data Analyst (Python, AWS, Docker, Kubernetes)
Location: Remote
Experience: 4+ Years
Job Type: Full-time, Contact , Remote
Job Description:
We are looking for a skilled Data Analyst with strong proficiency in Python and experience working with AWS cloud services and container technologies such as Docker and Kubernetes. The ideal candidate will have at least 4 years of relevant experience and be comfortable working in a collaborative, remote environment.
ETL experience is a plus but not mandatory, and training will be provided for the specific ETL tools used. Excellent communication skills and availability for second shift are essential.
Key Responsibilities:
- Develop and maintain scalable data pipelines and analytics solutions.
- Utilize Python to manipulate, clean, and analyze data.
- Deploy and manage containerized applications using Docker and Kubernetes.
- Work with AWS services for data storage, processing, and integration.
- Collaborate with teams to gather requirements, design solutions, and deliver insights.
- Document technical solutions and support data-driven decision-making.
Required Skills:
- Minimum 4 years of experience in data analysis or data engineering.
- Strong programming skills in Python.
- Hands-on experience with AWS, Docker, and Kubernetes.
- Solid analytical thinking and problem-solving ability.
- Excellent communication skills and ability to work independently in a remote setup.
- Willingness to work in second shift .
Nice to Have:
- ETL experience (training will be provided if needed).
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of SQL and relational database systems.
Job Types: Full-time, Contractual / Temporary
Schedule:
- Day shift
- UK shift
Supplemental Pay:
- Performance bonus
- Yearly bonus
Work Location: Remote
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