Data Systems Engineer
Há 7 dias
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Job SummaryWe are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data systems.
You will work closely with cross-functional teams to ensure the efficient collection, storage, and processing of data.
Key Responsibilities- Design and develop scalable data pipelines and ETL processes using Fivetran and other ETL tools.
- Implement and manage data models using DBT to ensure data accuracy and consistency.
- Write efficient, maintainable SQL code to extract, transform, and load (ETL) data from various sources.
- Develop and maintain data infrastructure on AWS, including S3, Redshift, and other relevant services.
- Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.
- Perform data quality checks and ensure data integrity across different platforms.
- Monitor and optimize the performance of data systems and pipelines.
- Utilize Python for data manipulation, automation, and integration tasks.
- Track and manage project tasks and progress using Jira.
- Stay up-to-date with emerging data engineering technologies and best practices.
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL and experience with relational databases.
- Experience with DBT (Data Build Tool) for data transformation and modeling.
- Hands-on experience with Fivetran or other ETL tools.
- Proficiency in Python for data-related tasks.
- Experience with AWS services such as S3, Redshift, Lambda, and Glue.
- Solid understanding of data modeling concepts and techniques.
- Familiarity with Jira for project management and issue tracking.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively in a team environment.
- Knowledge of other programming languages such as Java or Scala.
- Familiarity with data visualization tools like Tableau or Power BI.
- Experience with real-time data processing frameworks like Apache Kafka or Spark
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