Senior Data Engineer

🕒 March 18

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Vytwo Technologies Inc

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2003

🤝 B2B

🏢 Enterprise

🎯 Recruiter

B2B • Enterprise • Recruitment

<Vytwo Technologies Inc. > Vytwo Technologies is a globally recognized enterprise applications integrator and IT services firm based in Minneapolis, MN. The company provides IT consulting, system integration, custom application and product development, ERP and cloud-related solutions, re-engineering, maintenance, and outsourcing services for mid-to-large organizations. It also offers product support, printing outsourcing and staffing services, focusing on improving clients' sales efficiency and accelerating time-to-market through disciplined delivery and process-driven execution.

📋 Description

• Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency

🎯 Requirements

• 7+ years of experience in data engineering, software engineering, or similar disciplines • Hands-on experience with Databricks or Snowflake • Experience with orchestration tools such as Apache Airflow • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable) • Advanced SQL skills and experience with OLTP and OLAP data modeling • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns • Familiarity with data governance tools, especially Microsoft Purview • Solid programming expertise in Python, PySpark, or similar languages