Data Operations Engineer

Mexico, Monterrey

Epicor

Implement faster, customize less, and see ROI sooner with Epicor ERP software services built to fit your business, with your industry best-practices built in.

View all jobs at Epicor

Apply now Apply later

What you will be doing:

  • Perform all duties and maintain all standards in accordance with company policies, procedures, and internal controls such as SOX.

  • Design, implement, and maintain cloud-based data pipelines to enable efficient storage, processing, and analysis of large volumes of data.

  • Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures.

  • Evaluate and select appropriate cloud infrastructure and services to support data storage, processing, and analytics needs, considering factors such as scalability, performance, extendibility, cost, and security.

  • Implement data ingestion pipelines, integrating various, disparate data sources and ensuring data quality, integrity, and timeliness.

  • Design and optimize data storage solutions, including data lakes, data warehouses, and data marts, to support different types of data processing and analysis.

  • Implement data processing and transformation workflows using technologies such as Azure Spark, Azure SQL Pools / data warehouses or other cloud-native data processing services.

  • Develop and maintain data governance and security policies, ensuring compliance with data protection regulations and industry best practices.

  • Monitor and optimize the performance of data platforms, identifying bottlenecks and implementing optimizations to improve data processing speed and efficiency.

  • Identifies, designs, and implements internal process improvements such as automating manual processes and optimizing data delivery. Defines system design standards to improve and sustain standardization.

  • Collaborate with DevOps teams to automate deployment, monitoring, and management of data platforms using infrastructure-as-code and CI/CD practices.

  • Stay up-to-date with emerging technologies and industry trends in cloud computing, big data processing, and data engineering.

  • Provides technical mentoring to other team members for best practices on data engineering and cloud technologies.

What you will likely bring:

  • Strong experience in Microsoft Azure – minimum Azure Data Engineering Fundamentals certification or relevant experience

  • Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Synapse, Azure SQL Pools and On-Demand Clusters, Azure Data Factory, Azure Databricks)

  • Experience with data integration and ETL (Extract, Transform, Load) processes and best practices, including tools like cloud-native orchestration services experience with workload and job optimization for cost reduction.

  • Familiarity with data governance, data security, and compliance frameworks.

  • Understanding of distributed computing principles and scalable architectures.

  • Excellent problem-solving and troubleshooting skills, with the ability to address complex data platform challenges.

  • Strong communication and collaboration skills to work effectively with cross-functional teams

  • Deep knowledge of data ingestion strategies and understanding of the Data Lake and Dimensional data models within Azure. (ex: delta lakes and medallion architecture)

  • Comfortable with Microsoft SQL data technologies (SSAS/SSIS/SSRS) or relevant AzureSQL, MySQL, Postgres experience

What could set you apart:

  • Bachelor's or Master's degree in computer science, engineering, or a related field.

  • 4+ years of proven experience as a Data Engineer, Software Engineer, Data Architect or similar role, with a focus on building cloud-based data platforms and solutions.

  • Previous IT experience (SysAdmin, DBA, Application Support, Hosting, Infrastructure)

  • Experience with Data Visualization tools such as tableau, Domo, Power BI or similar.

  • Experience with Data Cleaning

  • Database automation and data transformation with Python Scripting

About Epicor 

At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. 

We’re Proactive, Proud, Partners.  


Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.

Competitive Pay & Benefits 

  • Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being. 

  • Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally. 

  • Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development. 

  • Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development. 

  • Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership. 

  • Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect. 

  • Global Mobility: Comprehensive support for international relocations and permanent residency processes.  

Equal Opportunities and Accommodations Statement  

Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless.  

We are an equal-opportunity employer.  

Recruiter:

Elizabeth Garcia
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0

Tags: Architecture Azure Big Data CI/CD Computer Science Databricks Data governance DataOps Data pipelines Data quality Data visualization DevOps Engineering ETL MySQL Pipelines PostgreSQL Power BI Python Security Spark SQL SSIS Tableau

Perks/benefits: Career development Competitive pay Health care Wellness

Region: North America
Country: Mexico

More jobs like this