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You will be updated with latest job alerts via emailData Engineer Databricks Retail Industry
Were looking for an experienced Data Engineer with strong handson expertise in Databricks to join our team and support key initiatives in the Retail sector. Youll be responsible for building and maintaining scalable highperformance data solutions that help drive intelligent decisionmaking 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:
Design develop and optimize data pipelines using Databricks to support largescale data processing and analytics.
Collaborate with Tech Leads Product Managers and fellow Engineers to integrate and transform data from multiple sources (structured and unstructured).
Develop and maintain highquality productiongrade Databricks workflows to support analytics reporting and machine learning initiatives.
Ensure all solutions are built with scalability performance and costefficiency in mind tailored to retailspecific needs like sales inventory and customer behavior.
Monitor and improve data quality reliability and observability across data systems.
Drive best practices in data engineering automation and continuous improvement.
What Were Looking For:
Bachelors or Masters degree in Computer Science Engineering or related field.
7 years of experience in data engineering with a proven track record in Databricks and Spark.
Deep understanding of data warehousing concepts data lake architecture and ETL/ELT workflows.
Handson experience with cloud platforms such as AWS or GCP.
Experience working with retail datasets: transactions supply chain pointofsale systems etc.
Strong experience with orchestration tools like Apache Airflow.
Solid programming skills in Python and SQL.
Ability to work collaboratively in crossfunctional teams with clear communication and a problemsolving mindset.
Full Time