Mid/Senior Data Engineer
New
M
Modus CreateData Engineering
Latam, Daily overlap with US Eastern Time ZoneContractSenior
Salary not disclosed
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Job Details
- Experience
- 4–7+ years
- Required Skills
- AWSPythonSQLETLData modelingDatabricksPySpark
Requirements
- 4–7+ years of experience as a Data Engineer or in a closely related role.
- Strong programming skills in Python, including PySpark.
- Solid SQL skills including complex analytical queries against large enterprise databases.
- Hands-on experience with Databricks: Delta Lake, Unity Catalog, Databricks Workflows, and SQL Warehouse.
- Working knowledge of AWS core services: S3, IAM, VPC, and networking fundamentals.
- Experience building ETL/ELT pipelines that extract from enterprise ERP or transactional systems.
- Strong understanding of data modeling, medallion architectures, and dimensional design.
- Experience with data quality frameworks including validation rules, anomaly detection, and exception handling.
- Experience using AI and LLM tools to accelerate engineering workflows.
- Reliable high-speed internet and ability to work effectively in a remote-first environment.
- Daily overlap with US Eastern Time Zone.
Responsibilities
- Design and build data pipelines extracting from enterprise ERP systems.
- Transform data using medallion architectures.
- Deliver governed, AI-ready data products.
- Collaborate with client subject-matter experts to validate data models.
- Ensure platform-wide production-grade standards from day one.
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