Remote Data Analytics Engineer - Pipelines, Lakehouse & Spark

Loveyourdevteam; Ciudad de Mendoza; Remote; ARS 139,312,000 - 201,229,000; Full time

Job summary

1801 Haleon Argentina S.A. is seeking a data engineer to build performant data pipelines, manage relational databases, and craft cloud-portable data lake environments using open formats and embedded analytics.

You will implement Medallion architecture, standardize on Parquet, Iceberg and Delta Lake, and run distributed processing with Databricks or Spark, while using Python and DuckDB for fast in-process analytics.

Qualifications

• Advanced SQL with deep PostgreSQL expertise.
• Hands-on experience building analytical pipelines in Python.
• Experience with DuckDB for localized processing.
• Familiarity with Parquet, Apache Iceberg and Delta Lake.
• Track record designing data lakes using Medallion architecture.
• Familiarity with Databricks / PySpark for distributed processing.

Responsibilities

• Design and implement resilient data pipelines.
• Manage relational databases and data lake environments.
• Develop cloud-portable data lake environments with open formats.
• Leverage embedded analytics with DuckDB in ETL workflows.
• Scale ETL and analytics workloads on Databricks or Spark.

Skills

Python

SQL

ETL pipelines

DuckDB

Tools

PostgreSQL

SQLite

Parquet

Apache Iceberg

Delta Lake

Databricks

PySpark

Job description

1801 Haleon Argentina S.A. is seeking a data engineer to build performant data pipelines, manage relational databases, and craft cloud-portable data lake environments using open formats and embedded analytics.

You will implement Medallion architecture, standardize on Parquet, Iceberg and Delta Lake, and run distributed processing with Databricks or Spark, while using Python and DuckDB for fast in-process analytics.