Data Engineer - Enterprise Data Automation & Migrations

March 27

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ST6

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ST6 is a software development company specializing in crafting high-quality custom solutions for businesses. With a focus on innovation and technology, ST6 provides tailored software services to enhance efficiency and drive growth for their clients.

2 - 10 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

📋 Description

• The Data Engineer will manage the design, automation, and governance of enterprise-wide data flows, ensuring that core business data is accurate, consistent, and accessible across the organization. • This role will play a pivotal part in scaling and optimizing data processes that power business operations, partnering with cross-functional leaders to drive data integrity, automation, and AI-driven efficiencies. • This individual will architect and maintain data structures, leveraging automated pipelines, AI, and cloud-native tools to ensure that data migrations for acquired businesses are rapid, accurate, and seamlessly integrated. • During acquisition integrations, the Data Engineer will work cross-functionally to identify key data sources, map them into standardized structures, and automate migration processes, ensuring data is cleansed, validated, and optimized for strategic decision-making. • Automate and scale data processes using AI/ML tools and automated pipelines to enhance data migration, cleansing, and transformation. • Ensure enterprise-wide data integrity through rigorous quality assessments, cleansing, and deduplication. • Identify and mitigate risks by proactively addressing data-related issues that could impact business operations. • Lead data mapping and integration efforts, collaborating across functions to ensure seamless M&A data consolidation and migration. • Architect scalable data solutions leveraging cloud-native technologies (AWS, Azure, Google Cloud) to optimize performance and security.

🎯 Requirements

• 3+ years of experience in data engineering, business systems, or data science with a focus on automation and data optimization. • Proficiency in ETL/ELT tools such as Apache Airflow, Talend, AWS Glue, or other cloud-native data pipeline solutions. • Expertise in cloud platforms (AWS, Azure, Google Cloud) for data storage, processing, and security. • Strong programming skills in Python, Java, or Scala, with experience in data transformation and automation. • Deep knowledge of relational databases and data governance best practices. • Experience with data visualization and BI tools to enable effective reporting and insights. • Experience leading data integration efforts during M&A transactions, ensuring efficient data consolidation and migration. • Professional certifications in cloud platforms or data engineering technologies. • Strong stakeholder management skills, with the ability to translate complex data challenges into clear business solutions.