Middle/Senior Data Engineer
2 meses atrás
RESPONSIBILITIES
- Contributing to new technologies investigations and complex solutions design, supporting a culture of innovation considering matters of security, scalability, and reliability with the focus on building out our ETL processes
- Working with modern data stack, coming up with well-designed technical solutions and robust code, implementing data governance processes
- Working and professionally communicating with the customer’s team
- Taking up responsibility for delivering major solution features
- Participating in requirements gathering & clarification process, proposing optimal architecture strategies, leading the data architecture implementation
- Developing core modules and functions, designing scalable and cost-effective solutions
- Performing code reviews, writing unit, and integration tests
- Scaling the distributed system and infrastructure to the next level
- Building data platform using the power of AWS cloud provider
Qualifications
REQUIREMENTS
- 3+ years of strong experience with Python as a programming language for data pipelines and related tools
- Familiarity and understanding of distributed data processing with Spark, for data pipeline optimization and monitoring workloads
- Experience with Snowflake
- Proven strong track record of building data transformations in data build tools
- Excellent data modeling and data warehousing best practices implementation
- Experience with Looker with a developer proficiency
- Strong Data Domain background - knowledge of how data engineers, data scientists, analytics engineers, and analysts work to be able to work closely with them and understand their needs
- Good written and spoken English communication skills
- Software engineering best practices: Testing, PRs, Git, code reviews, code design, releasing
WOULD BE A PLUS
- Data certifications Data Engineend or Data Analytics
- Experience with Databricks and Airflow
- Experience with DAGs and orchestration tools
- Experience with developing Snowflake-driven data warehouses
- Experience with developing event-driven data pipelines
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