Senior Data Engineer: Global Data Platform & Flexible Hours

GlobalLogic Inc.

Argentina

On-site

ARS 1,800,000 - 2,400,000

Full time

2 days ago

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Benefits offered by this job

Family medical insurance

Extended paternity leave

Annual performance bonuses

Referral bonuses

International travel opportunities

Job summary

GlobalLogic is seeking a Senior Data Engineer to join our Data Analytics/Warehousing & Business Intelligence teams. You will help build an enterprise data platform for a healthcare client, enabling analytics for Direct-to-Consumer, Territory Insights, and Inside Sales while collaborating with engineers and healthcare professionals.

You will design robust dimensional models, integrate Salesforce data, and develop scalable ETL/ELT pipelines using Databricks, Python, and Spark.

Qualifications

6+ years of data engineering experience, including 2+ years leading or managing teams or projects.
Deep hands-on experience extracting, modeling and transforming Salesforce (SFDC) objects for analytics.
Strong command of dimensional modeling (Kimball), star schemas and enterprise data warehousing concepts.
Advanced SQL: complex joins, optimization, indexing, and data pipeline orchestration (e.g., Databricks).
Proficiency with cloud data platforms such as Databricks, plus modern transformation tools.
Experience with commercial datasets: sales pipelines, DTC transactions, territory mapping or inside sales rep performance.

Responsibilities

Designs and optimizes Star/Snowflake schema data models and Gold-layer tables for analytics.
Extracts and harmonizes Salesforce Sales Cloud/Service Cloud data with DTC data.
Builds and automates ETL/ELT pipelines into curated data marts.
Develops semantic models and standardized metrics as a single source of truth.
Applies data governance, data quality testing and CI/CD with Git-based workflows.