Note: The job is a remote job and is open to candidates in USA. TECHEAD is an established logistics and industrial services company seeking a Mid-Level Data Engineer. In this role, you will modernize and scale data infrastructure across operations, finance, and business intelligence, converting raw operational data into trusted, scalable analytics assets.

Responsibilities

• Design, build, and maintain production-grade pipelines (ADF, Databricks, SQL) to ingest data from ERP, CRM, and financial systems
• Build optimized dimensional models, star schemas, and data marts within Azure Data Lake and data warehouses
• Prepare and optimize trusted datasets, semantic models, and queries for high-performing Power BI dashboards
• Implement validation checks, resolve data integrity issues, and fully document pipelines and business logic
• Monitor and optimize SQL queries, pipeline processing times, and report responsiveness

Skills

• 3–6 years of data engineering, ETL development, or BI engineering experience
• Bachelor's degree in CS, IT, Data Analytics, Engineering, or equivalent experience
• Advanced proficiency in SQL (query optimization, stored procedures, joins, and indexing)
• Hands-on experience building production pipelines using Azure Data Factory, Azure Databricks, SSIS, or Python
• Solid understanding of dimensional modeling and data warehouse architecture
• Experience preparing datasets, managing refresh schedules, and supporting dashboards in Power BI
• Ability to gather requirements from business stakeholders and translate them into data solutions
• Background in transport, logistics, fleet maintenance, distribution, or field/industrial services
• Experience with Python, PySpark, Spark SQL, Delta Lake, Synapse, Fabric, or Snowflake
• Experience integrating data from Microsoft Dynamics 365 or specialized industrial ERP platforms
• Familiarity with operational data (work orders, asset tracking, inventory, labor, billing, and customer contracts)
• Experience with APIs, SFTP, and flat-file ingestion

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