Senior Data Engineer
New
With teams across North America, Europe, Latin America, and AsiaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5-10 years
- Required Skills
- PythonSQLSnowflakeCI/CDdbtAWS Lambda
Requirements
- 5-10 years of experience in data engineering.
- Strong proficiency in Snowflake DWH and its components.
- Advanced SQL skills including CTEs, window functions, and performance tuning.
- Proficiency in Python for data processing and pipeline development.
- Experience with Amazon QuickSight for BI visualizations.
- Hands-on experience with dbt (data build tool).
- Experience with AWS services: AWS Glue, Lambda, and S3.
- Knowledge of data security practices, governance, and compliance.
- Familiarity with CI/CD tools for automation.
- Exposure to big data technologies such as Spark or Hive.
- Background in advanced analytics or data science.
- Ability to work effectively in a global team environment.
Responsibilities
- Develop and maintain robust ETL/ELT pipelines for data processing.
- Design and optimize data lake solutions.
- Conduct root cause analysis and ensure data integrity.
- Create BI visualizations using Amazon QuickSight for clinical stakeholders.
- Implement data security practices, governance, and compliance protocols.
- Automate deployment and testing processes using CI/CD tools.
- Collaborate with non-technical teams to translate business goals into technical solutions.
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