The Role

Builds performant data processing pipelines, manages relational databases, and constructs cloud-portable data lake environments using modern open storage formats and embedded analytical engines.

Responsibilities

Pipeline Design: Construct resilient data processing pipelines in Python using Medallion architecture principles (Bronze/Silver/Gold) to transform raw data into analytics-ready assets.

Open Storage Management: Standardize data storage using open formats including Parquet, Apache Iceberg, and Delta Lake to ensure cross-cloud compatibility.

Embedded Analytics: Leverage DuckDB integrated with Python for fast, lightweight, and performant localized data processing within ETL workflows.

Database Operations: Architect and optimize production PostgreSQL schemas while utilizing SQLite for embedded or lightweight localized storage needs.

Distributed Compute: Scale heavy ETL, data transformation, and analytics workloads using Databricks or Apache Spark.

Requirements

Advanced SQL proficiency with deep PostgreSQL expertise and working knowledge of SQLite.

Hands‑on experience building robust analytical pipelines using Python and DuckDB.

Mastery of open table and storage formats (Parquet, Apache Iceberg, Delta Lake).





Proven track record designing data lakes using the Medallion data processing architecture.

Familiarity with the Databricks / PySpark ecosystem for distributed processing.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you

ABOUT THE ROLE

We are looking for a Data & Analytics Developer to build Power BI dashboards and reporting solutions that turn enterprise data into actionable business insights.

MUST HAVES

- 4+ years of strong professional experience developing Power BI dashboards and reports.
- Strong knowledge of Power BI data modeling, DAX, and visualization best practices .
- Strong SQL skills and experience working with relational and analytical data.
- Experience working with Snowflake or similar cloud-based enterprise data platforms .
- Experience working with SAP HANA, SAP data, or SAP-based source systems .

📌 Senior Ml Analytics Engineer — Remote (Mendoza)
🏢 Kavak
📍 Mendoza