Senior Data Engineer
hace 6 días
**Responsibilities**:
- Lead data teams, and guide and support decisions in terms of data strategies, architecture, modeling, and tools.
- Plan and conduct Data projects.
- Discovers and elicits business and data requirements.
- Design and implement Data architectures on cloud or on-premises.
- Develop logical data models for OLTP and OLAP processing.
- Develop data pipelines for extracting, cleansing, transforming, and enhancing data.
- Team-oriented attitude and the ability to work well with others to achieve a common goal.
- Open to working in an agile environment as part of a scrum team.
- The ability to take the initiative, drive the project and innovate.
- Having a proactive attitude towards solving problems.
- Good client-facing skills.
**Qualifications and Experience**:
- Wide experience leading teams and stakeholder management.
- Strong data modeling skills (normalized and multidimensional).
- Strong data analysis and Advance SQL skills.
- Background and experience with cloud data technologies and tools.
- Strong SQL scripting experience.
- Familiar with distributed computing environments.
- Experience implementing ELT process and Data pipelines.
- Background and experience with data tools and technologies like:
- BigQuery, Redshift, Snowflake, other Data warehouse and BI tools
- Spark, Hadoop, Apache beam, Dataproc or similar.
- Real time pipelines with Kinesis or Kafka.
- Batch processing.
- Serverless processing.
- Proficiency in a programing language like Python, Scala or similar.
- Good leadership and communications skills.
- English B2+
Nice to have:
- Previous experience in payment projects.
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