Data Engineer - Spark & Databricks, Flexible Hours

Huenei IT Services; Buenos Aires; On-site; ARS 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Continuous training program

Flexible working hours to support work

In-company English classes

Employee referral program

Benefits platform

Job summary

Huenei IT Services is seeking a Data Engineer to join our team in Buenos Aires. You will work on designing and delivering modern data solutions, auditing multi-agent pipelines, and ensuring data quality across Spark workloads.

The role requires strong Python/SQL skills, Spark/PySpark experience, and familiarity with Databricks and Delta Lake. You will collaborate with architects and engineers to produce production-ready solutions and contribute to cloud transformation initiatives.

Qualifications

• Proven experience in Data Engineering or ETL Development.
• Strong hands-on experience with Python and SQL in production environments.
• Experience developing and optimizing solutions using Apache Spark / PySpark.
• Knowledge of Databricks (Asset Bundles experience is a plus).
• Solid experience with Git, Pull Requests, and code review as part of a regular development workflow.
• Familiarity with data platforms and technologies such as Delta Lake, T-SQL, SSIS, and SQL Server Agent.
• Experience working with CI/CD practices; exposure to Azure DevOps is desirable.
• Ability to review, validate, and troubleshoot code written by other developers.
• Strong analytical and problem-solving skills, with the ability to exercise independent technical judgment.
• Experience working with AI-assisted development tools and modern software delivery practices.

Responsibilities

• Operating and auditing the multi-agent system, reviewing execution plans and validating generated code bundles to ensure scalability, performance, and data quality.
• Analyzing and detecting bottlenecks such as data skew, excessive shuffles, inefficient transformations, and incorrect data typing within Spark workloads.
• Designing and executing data parity and reconciliation tests to certify that Databricks outputs fully match legacy source loads in terms of volume, values, and schemas.
• Resolving minor code warnings and technical issues independently while escalating complex events, pattern changes, and semantic inconsistencies to the Architect when required.
• Reviewing and remediating code quality, security, and compliance findings identified through SAST tools, dependency scans, and internal standards before Pull Request submission.
• Managing feature branches and Git workflows, ensuring compliance with development standards, pre-check validations, and code review practices.
• Leading the resolution of rejected tickets, defects, and issues identified during QA and UAT phases.
• Supporting deployment activities, monitoring pipeline performance, and maintaining operational stability during the post-deployment hypercare period until formal handover to support teams.
• Collaborating with architects, engineers, and AI-assisted development tools to deliver approved designs as validated and production-ready solutions.

Skills

Python

SQL

Data engineering

PySpark

Spark

Databricks

Git

CI/CD

Azure DevOps

Tools

Git (PRs)

Databricks

Delta Lake

SSIS

Azure DevOps

Job description

Huenei IT Services is seeking a Data Engineer to join our team in Buenos Aires. You will work on designing and delivering modern data solutions, auditing multi-agent pipelines, and ensuring data quality across Spark workloads.

The role requires strong Python/SQL skills, Spark/PySpark experience, and familiarity with Databricks and Delta Lake. You will collaborate with architects and engineers to produce production-ready solutions and contribute to cloud transformation initiatives.