Data Engineer
hace 2 meses
We are seeking a skilled and analytical Data Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining robust data infrastructure to support our organization's data-driven decision-making processes.
Key Responsibilities- Design, develop, and maintain scalable data pipelines to extract, transform, and load data from various sources.
- Collaborate with data scientists and analysts to understand data requirements and implement efficient data models.
- Optimize data storage and retrieval systems to ensure high performance and reliability.
- Implement and maintain data quality checks and monitoring systems.
- Develop and maintain documentation for data processes and architectures.
- Stay up-to-date with emerging technologies and best practices in data engineering.
- Troubleshoot and resolve data-related issues in a timely manner.
- Ensure data security and compliance with relevant regulations and company policies.
- 3+ years of experience in data engineering or a related role.
- Strong proficiency in SQL and database management systems.
- Experience in Snowflake.
- Solid programming skills in Python, Java, or Scala.
- Experience with big data technologies such as Hadoop and Spark.
- In-depth knowledge of ETL processes and data warehousing concepts.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Experience with version control systems, preferably Git.
- Strong background in developing and maintaining data pipelines.
- Experience with data modeling and architecture design.
- Understanding of data privacy, security best practices, and data governance principles.
- Advanced English skills.
- Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus.
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership.
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences.
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme.
- Health: Global internal wellbeing programme, access to wellbeing apps.
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
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