Data Engineer

Summary

ProMach is a packaging performance and automation company seeking a Data Engineer to design, build, and maintain data flows between corporate IT systems and its data lake. The role focuses on data pipelines, ETL/ELT, cloud integration, data quality, data modeling, CI/CD automation, and collaboration with analysts and stakeholders to deliver actionable insights.

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks, Apache Spark, and Delta Lake
• Develop and manage robust ETL/ELT workflows for data extraction, transformation, and loading from diverse source systems
• Monitor and resolve any issues with scheduled jobs that move data
• Contribute to designing and implementing data models and architecture for data lakes and data warehouses
• Provide guidance on architecture and platforms that facilitate reporting and analytics needs
• Integrate data solutions with cloud platforms (Azure, AWS, or GCP) and related services
• Implement data quality checks, monitoring, and data governance best practices to ensure consistency, accuracy, and reliability
• Implement and maintain CI/CD pipelines to automate deployment and streamline workflows
• Work closely with business analysts and stakeholders to define data requirements and deliver actionable insights

Skills

• Proven experience in data engineering and cloud-based development
• 3-5 Years' experience in a similar role
• Expertise in Databricks and the broader Databricks ecosystem (Databricks SQL, Delta Lake, Databricks Runtime)
• Proficiency in SQL, Python, and Apache Spark
• Experience with cloud platforms such as Azure, AWS, or GCP
• Strong understanding of data modeling, ETL/ELT, and data warehousing concepts
• Experience with CI/CD tools and practices
• Excellent problem-solving, analytical, and communication skills
• Eager to learn new skills and step in to deliver where needed
• Bachelor's Degree in Information Systems, Computer Science, or related field, or equivalent work experience
• Experience with ERP systems (SAP, Infor) and Salesforce CRM
• Familiarity with BI tools such as Tableau
• Manufacturing industry experience
• Motivated, committed and energetic self-starter dedicated to providing high quality and responsive IT service

Qualifications

Must Haves

• Proven experience in data engineering and cloud-based development
• 3-5 Years' experience in a similar role
• Expertise in Databricks and the broader Databricks ecosystem (Databricks SQL, Delta Lake, Databricks Runtime)
• Proficiency in SQL, Python, and Apache Spark
• Experience with cloud platforms such as Azure, AWS, or GCP
• Strong understanding of data modeling, ETL/ELT, and data warehousing concepts
• Experience with CI/CD tools and practices
• Excellent problem-solving, analytical, and communication skills
• Eager to learn new skills and step in to deliver where needed
• Bachelor's Degree in Information Systems, Computer Science, or related field, or equivalent work experience

Nice to Haves

• Experience with ERP systems (SAP, Infor) and Salesforce CRM
• Familiarity with BI tools such as Tableau
• Manufacturing industry experience
• Motivated, committed and energetic self-starter dedicated to providing high quality and responsive IT service

Benefits

• Remote work arrangement
• Growth opportunities
• Comprehensive medical/dental programs
• Life insurance
• Generous paid time off program
• Retirement savings plan with a company match
• Benefits eligibility on the first day of employment