Acerca del puesto 735 - Senior Data Engineer · 7+ Databricks/Warehousing/Retail)
Data Engineer Databricks | Retail Industry
Were looking for an experienced Data Engineer with strong hands-on expertise in Databricks to join our team and support key initiatives in the Retail sector. Youll be responsible for building and maintaining scalable, high-performance data solutions that help drive intelligent decision-making across the business.
If you thrive working with large datasets, love building robust pipelines, and have a passion for solving complex problems in the retail worldthis role is for you.
What Youll Do:
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Design, develop, and optimize data pipelines using Databricks to support large-scale data processing and analytics.
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Collaborate with Tech Leads, Product Managers, and fellow Engineers to integrate and transform data from multiple sources (structured and unstructured).
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Develop and maintain high-quality, production-grade Databricks workflows to support analytics, reporting, and machine learning initiatives.
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Ensure all solutions are built with scalability, performance, and cost-efficiency in mind, tailored to retail-specific needs like sales, inventory, and customer behavior.
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Monitor and improve data quality, reliability, and observability across data systems.
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Drive best practices in data engineering, automation, and continuous improvement.
What Were Looking For:
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Bachelors or Masters degree in Computer Science, Engineering, or related field.
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7+ years of experience in data engineering, with a proven track record in Databricks and Spark.
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Deep understanding of data warehousing concepts, data lake architecture, and ETL/ELT workflows.
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Hands-on experience with cloud platforms such as AWS or GCP.
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Experience working with retail datasets: transactions, supply chain, point-of-sale systems, etc.
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Strong experience with orchestration tools like Apache Airflow.
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Solid programming skills in Python and SQL.
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Ability to work collaboratively in cross-functional teams, with clear communication and a problem-solving mindset.
¡Postulate ahora y sumate a la querida Darwoft!
talento@darwoft.com
Consultas? Sigue al Recruiter
https://www.linkedin.com/in/hernanvietto/