Senior Data Engineer (Databricks)
New
F
FactoredData Engineering
Latin AmericaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLGitSnowflakeAirflowNosqlSparkDatabricks
Requirements
- 5+ years of professional experience shipping high-quality, production-ready code.
- Strong computer science foundations (data structures, algorithms, OS, networks, databases).
- Proficiency in Python.
- Experience with relational SQL and NoSQL databases (e.g., Postgres, Cassandra, MongoDB).
- Expertise in data processing and warehousing tools (Databricks and Snowflake).
- Experience with cloud platforms (AWS, GCP, or Azure).
- Experience with processing and orchestration tools like Spark or Airflow.
- Expertise with version control systems (Git).
- Strong analytic skills related to working with unstructured datasets.
- Excellent verbal and written communication skills in English.
Responsibilities
- Develop and maintain ETL processes using Python.
- Write efficient SQL queries to extract, manipulate, and analyze data.
- Design, build, and optimize large-scale data pipelines using Databricks and Snowflake.
- Design and develop optimal data processing techniques, including automation, validation, and augmentation.
- Collaborate with stakeholders to translate data needs into scalable solutions.
- Design and develop API integrations for data models.
- Architect and implement new features while partnering with AI/ML engineers.
- Monitor performance, identify bugs, and ensure data integrity.
- Build scalable infrastructure using SQL and AWS big data technologies.
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