Senior Data Scientist with Groovy Skills
5 dni temu
About the Role
We are seeking an experienced Data Engineer to join our team and contribute to the development of efficient data pipelines using Apache Spark, Java, and Groovy.
Responsibilities
- Design and implement efficient data pipelines using Apache Spark, Java, and Groovy.
- Collaborate with data engineers, product teams, and stakeholders to gather data requirements.
- Create and maintain algorithms and data processing code in Java/Groovy.
- Develop Python scripts to automate data extraction from various sources.
- Monitor and troubleshoot the performance of data pipelines in Airflow, addressing any issues or bottlenecks.
- Write SQL queries to extract data from BigQuery and develop reports using Looker Studio.
- Participate in daily stand-ups, sprint planning, and retrospective meetings.
- Engage in peer code reviews, knowledge sharing, and assist other engineers with their work.
Requirements
- Bachelor's degree or equivalent programming experience.
- 4-5 years of overall experience as a backend software developer, with at least 2 years as a Data Engineer using Spark with Java/Groovy and/or Python.
- Strong coding skills, and knowledge of data structures, OOP principles, databases, and API design.
- Highly proficient in developing programs and data pipelines in Java/Groovy or Python.
- 2+ years of professional experience with Apache Spark/Hadoop.
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