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Tech Stack
Tools & technologiesAirflowBigQueryGoogle Cloud PlatformPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Develop and maintain data ingestion and transformation pipelines;
- Work with Lakehouse architectures;
- Operate in GCP and Databricks environments;
- Design and evolve data structures in BigQuery and Delta Lake;
- Support the definition and implementation of dimensional and relational modeling (Star Schema, Snowflake, etc.);
- Ensure data quality, consistency, and security;
- Support performance and cloud cost monitoring activities;
- Collaborate with business stakeholders and data teams.
Requirements
What you’ll need- Experience as a Data Engineer or Analytics Engineer;
- Strong SQL skills;
- Experience with Python and Spark/PySpark;
- Experience with GCP (BigQuery, GCS, Pub/Sub, Dataflow or Dataproc);
- Hands-on experience with Databricks;
- Knowledge of orchestration and pipeline automation (Airflow/Composer);
- Familiarity with CI/CD and source control (Git).
Benefits
Comp & perks- Not specified 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
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Hard Skills & Tools
SQLPythonSparkPySparkGCPBigQueryDatabricksAirflowComposerCI/CD
Soft Skills
collaborationcommunication
