Senior Ml Analytics Engineer — Remote

Kavak; Ciudad de Mendoza; Remoto; ARS 139.364.000 - 201.304.000; Tempo pieno

Descrizione del lavoro

Kavak is seeking a Data & Analytics Developer to build end-to-end analytics solutions. You will design resilient data pipelines, standardize open storage formats, and enable embedded analytics using DuckDB within ETL workflows.

Role requires strong SQL, PostgreSQL, and experience with cloud platforms like Snowflake or SAP data sources. You will work with Databricks/Spark for distributed processing and contribute to scalable analytics across the organization.

Competenze

• 4+ years of experience building Power BI dashboards and reports.
• Power BI data modeling, DAX, and visualization best practices.
• Strong SQL skills with relational and analytical data.
• Experience with Snowflake or similar cloud-based platforms; SAP HANA/SAP data sources.

Mansioni

• Pipeline design: Build robust data pipelines in Python using Medallion architecture (Bronze/Silver/Gold).
• Open storage management: Standardize storage with Parquet, Iceberg, and Delta Lake for cross-cloud use.
• Embedded analytics: Use DuckDB with Python for local, fast analytics in ETL workflows.
• Database operations: Design and optimize production PostgreSQL schemas; use SQLite for embedded/local storage.
• Distributed compute: Scale ETL and analytics with Databricks or Apache Spark.

Conoscenze

Power BI

SQL

Strumenti

Snowflake

SAP HANA

Descrizione del lavoro

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 .