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Data Engineer for Growing Data Needs
3 weeks ago
Unlock Data Engineering Opportunities
- We are looking for a skilled Data Engineer Python to join our team.
About the Job
This role involves collaborating with product owners and team leads to identify, design, and implement new features to support growing data needs. You will be responsible for building and maintaining optimal architecture to extract, transform, and load data from various sources, including external APIs, data streams, and data lakes.
Key Responsibilities
- Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
- Monitor and anticipate trends in data engineering and propose changes in alignment with organizational goals and needs.
- Share knowledge with other teams on various data engineering or project-related topics.
- Collaborate with the team to decide which tools and strategies to use within specific data integration scenarios.
Required Skills and Qualifications
To be successful in this role, you should have:
- Prior experience with PySpark and Python programming languages.
- Familiarity with cloud platforms and SQL databases.
- Strong understanding of data warehousing concepts and principles.
- Knowledge of data engineering principles and best practices.
- Experience with orchestration tools and data flows.
- Familiarity with Docker, Kubernetes, AWS Kinesis, Kafka streams, and other related technologies.
- Good understanding of data storage design principles and SQL/NoSQL solutions.
- Experience with modern data warehouse building using Snowflake, AWS Redshift, or BigQuery.
- Familiarity with Spark internals and query optimization.
- Ability to work effectively in a team environment and communicate complex ideas clearly.
Benefits
In addition to a competitive compensation package, we offer:
- Stable employment based on a full-time contract.
