Lead Data Engineer
MXN 750K-1100K (estimate) Senior-level Full Time
Tasks
- Build data pipelines
- Collaborate cross-functionally
- Conduct architecture reviews
- Define data architecture
- Develop ETL/ELT pipelines
- Establish data engineering standards
- Govern data platforms
- Implement data quality frameworks
- Mentor engineers
- Optimize distributed data processing
- Partner with business stakeholders
- Perform code reviews
- Set observability practices
- Troubleshoot production data issues
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | Apache Airflow | Apache Flink | Apache Iceberg | Apache Spark | Azure | CloudFormation | Dagster | Data Governance | Data Lakes | Data Modeling | Data Observability | Data Processing | Data Quality | Data Warehousing | Data Warehousing Automation | Databricks | Delta Lake | Distributed data | Distributed data processing | ELT | ETL | Google Cloud | Informatica | Infrastructure as Code | Kafka | Lakehouse | Microsoft SQL | Microsoft SQL Server | MuleSoft | MySQL | Oracle | Parquet | PostgreSQL | Prefect | PySpark | Python | SQL | SQL Server | SSIS | Series data | Snowflake | SparkSQL | Terraform | Time Series | Time Series Data | Warehousing Automation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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