
Master Data Engineer
5 days ago
Job Title: Master Data Engineer
We are seeking an experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with experience in building and maintaining large-scale data pipelines.
Key Responsibilities:
- Work closely with the data science team to design and implement complex algorithms that provide valuable insights into our data
- Use agile development processes to make iterative improvements to our back-end systems
- Model front-end and back-end data sources to gain a comprehensive understanding of user flows throughout the system and to enable powerful data analysis
- Build scalable data pipelines that clean, transform, and aggregate data from disparate sources
- Develop predictive models that can be used to inform business decisions and drive growth
Required Skills and Qualifications:
- 3 or more years of experience with Python, SQL, and data visualization/exploration tools
- Strong familiarity with BigData and Google Cloud technologies
- Solid work experience with Google Cloud's BigQuery, Airflow, CI/CD, and related tools
- Knowledge of industry-wide visualization and analytics tools (e.g., Tableau, R)
- Knowledge of Core Java, Linux, SQL, and scripting languages
- Experience with Python, Spark, and Hive
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
- Ability to work in a dynamic, research-oriented environment with concurrent projects
- Bachelor's degree (or equivalent) in Computer Science, Information Technology, Engineering, or a related field
- Experience in building or maintaining ETL processes
- Professional certification
Benefits:
This role offers a competitive salary, excellent benefits, and opportunities for professional growth and development.
Additional Details:
The ideal candidate will possess a strong passion for data engineering and a desire to contribute to a dynamic team. We offer a collaborative work environment, flexible working arrangements, and opportunities for continuous learning and development.
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