Data Engineer

We are seeking a Data Engineer to join a growing Data & Analytics team. This role will focus on developing, enhancing, and supporting data pipelines that power reporting, analytics, and advanced data solutions across the organization.

The ideal candidate is highly proficient in SQL, has hands-on Databricks experience, and understands how to build and maintain data solutions within a Medallion Architecture environment. This individual will work closely with both technical teams and business stakeholders, transforming business requirements into scalable, high-quality data solutions.

Key Responsibilities:

• Design, develop, maintain, and optimize data pipelines within a Databricks environment.
• Build and support ETL/ELT processes across Bronze, Silver, and Gold data layers.
• Develop data transformations using SQL, Python, and PySpark.
• Troubleshoot data issues, perform root cause analysis, and ensure reliable data delivery.
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
• Design and maintain scalable data models for reporting, analytics, and operational use cases.
• Implement data quality, testing, monitoring, and performance optimization best practices.
• Document data flows, transformation logic, and technical processes.
• Partner with Data Engineers, Data Scientists, Analysts, and business teams to deliver trusted, certified data assets.
• Contribute to continuous improvement efforts within the data platform and engineering processes.

Required Qualifications:

• 3 years of Data Engineering experience.
• Strong hands-on experience with Databricks.
• Advanced SQL skills, including:
• Complex joins
• CTEs
• Window functions
• Query optimization and performance tuning
• Python experience for data processing and automation.
• PySpark experience within Databricks.
• Experience building and supporting ETL/ELT pipelines.
• Experience developing solutions using Medallion Architecture (Bronze, Silver, Gold).
• Strong understanding of data modeling concepts, including dimensional and normalized models.
• Experience with data quality, testing, monitoring, and production support.
• Strong communication skills and ability to work directly with business stakeholders.
• Ability to translate business requirements into effective technical solutions.

Preferred Qualifications"

• Experience with retail, wholesale distribution, or supply chain-focused data environments.
• Domain expertise in one or more of the following:
• Inventory Management
• Merchandising
• Replenishment
• Logistics
• Supply Chain Operations
• Product or Sales Analytics
• Experience with Delta Lake and Unity Catalog.
• Experience with orchestration tools such as:
• Airflow
• Azure Data Factory
• Prefect
• Dagster
• Experience with cloud data platforms such as Snowflake, BigQuery, or Redshift.
• Familiarity with Power BI, Sigma, or similar analytics platforms.
• Experience working within Agile development environments.