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©2024 Kaswans Technologies Ltd, United Kingdom All right reserved.
Data Engineer
Full Time
Remote
Hybrid
2 months ago
Apply Now
Employment Information
Industry
Data Science
Job Level
Entry Level
Open Positions
1
Salary
Attractive
Experience
Junior 1-3 Years
Job Type
Full Time , Remote , Hybrid
Location
Genève, Switzerland
Key Responsibilities:
Design, develop, and maintain scalable data pipelines and workflows.
Work closely with data scientists, analysts, and business teams to ensure data is accessible and clean.
Optimize the performance of databases and data systems to improve efficiency.
Create and manage ETL (Extract, Transform, Load) processes to automate data integration.
Ensure the quality and integrity of data by performing validation and data cleaning tasks.
Implement and manage data storage solutions, including cloud platforms and data lakes.
Collaborate with teams to define data requirements and ensure seamless data flow.
Troubleshoot and resolve data-related issues across various systems.
Qualifications:
Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
Basic proficiency in programming languages such as Python, Java, or SQL.
Knowledge of database management systems (e.g., MySQL, PostgreSQL, MongoDB).
Familiarity with big data tools and frameworks (e.g., Hadoop, Spark) is a plus.
Understanding of cloud services (e.g., AWS, Google Cloud, Azure) is a bonus.
Strong analytical and problem-solving skills.
Good communication skills to work with cross-functional teams.
Eagerness to learn and stay updated with the latest developments in data engineering.
Preferred Skills:
Experience with ETL tools and data pipelines.
Knowledge of data warehousing concepts.
Familiarity with version control systems such as Git.
Experience with data visualization tools is a plus (e.g., Tableau, Power BI).
Any relevant certifications (e.g., AWS Certified Data Analytics) are a plus.
Salary and Benefits:
Competitive salary range between €55,000 and €70,000 per year, depending on experience and qualifications.
Flexible working hours with options for remote work.
Health insurance, pension contributions, and other benefits.
Opportunities for professional development and career advancement.
A dynamic, collaborative work environment in a growing tech industry.
Skills
Git
Apache Spark
AWS Code Pipeline
ETL Processes
Google Cloud
Tags
AWS
Azure
Data Pipelines
Data Engineer
cloud platforms
ETL processes
Apply Now
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