ETL Developer

ASSA ABLOY Group; Región Centro; Presencial; MXN 520.000 - 760.000; Jornada completa

Descripción de la vacante

ASSA ABLOY Group in Guadalajara, Mexico is seeking an experienced ETL Developer to design and implement data integration solutions using Azure Data Factory, SSIS, and Databricks. You will build scalable ETL pipelines, enable real-time data streaming, and optimize data models for performance and reliability.

The role requires strong MSSQL skills, Azure cloud services, and experience with ERP data, data warehousing, and data quality checks.

Formación

• 4+ years of Information Technology experience with a focus on data warehousing, ETL development, and data modeling.
• 2+ years of data engineering with Azure services.
• 2+ years of DB development using MS SQL.

Responsabilidades

• Design and implement ETL processes using Azure Data Factory and SSIS to extract, transform, and load data from diverse sources.
• Design end-to-end data pipelines with orchestration, dependency management, and monitoring using Azure Data Factory or similar tools.
• Work with Microsoft Fabric components (Lakehouse, Data Warehouse, Pipelines) to build modern data solutions.
• Optimize workloads across Fabric environments for performance and scalability.
• Develop real-time data streaming solutions with Azure Stream Analytics and Azure Event Hubs.
• Leverage PySpark and Databricks for large-scale data processing with scalability and high performance.
• Collaborate with data architects to model data structures for efficient storage and retrieval.
• Implement ERP integration into data lakes ensuring data flow and accessibility.

Conocimientos

MS SQL

Azure Data Factory

SSIS

Databricks

PySpark

Azure Stream Analytics

SQL performance tuning

Data modeling

Educación

Bachelor’s degree in Computer Science/Engineering

Herramientas

Azure Data Factory

SSIS

Databricks

MS SQL

Azure Stream Analytics

PySpark

Fabric (Lakehouse/Databricks)

Descripción del empleo

ASSA ABLOY is a global leader in access solutions, dedicated to shaping the future of security and convenience. With a rich heritage spanning over 150 years, ASSA ABLOY has built a reputation for delivering innovative and reliable locking and access control solutions. ASSA ABLOY’s cutting-edge technologies ensure safety, security, and seamless user experiences. With a commitment to sustainability and customer satisfaction, ASSA ABLOY continues to drive advancements in access solutions for a safer and more connected world.

What You Will Be Doing

We are looking for an experienced ETL Developer to design and implement data integration solutions using tools like Azure Data Factory, SSIS, and Databricks. The role involves building scalable ETL pipelines, real-time data streaming solutions, and optimizing data models for performance and reliability. Key responsibilities include integrating ERP systems into data lakes, migrating on-premises solutions to Azure, and ensuring data quality through rigorous checks and monitoring. Strong expertise in MSSQL, Azure Cloud Services, and data processing, along with excellent communication and multitasking skills, is essential for this dynamic role.

This is an onsite role based in Guadalajara, Mexico.

Summary Of Responsibilities

A key member of the development team, this position focuses on designing, implementing, and optimizing ETL processes, data integration, and modeling to enhance data reliability and quality for SaaS products.

• ETL Development: Design and implement ETL processes using Azure Data Factory and SSIS to extract, transform, and load data from diverse sources efficiently.
• Data Pipelines & Orchestration: Strong experience in designing end-to-end data pipelines, including orchestration, dependency management, and monitoring using Azure Data Factory or similar tools.
• Microsoft Fabric: Work with Microsoft Fabric components such as Lakehouse, Data Warehouse, and Pipelines to build modern, unified data solutions.
• Fabric Optimization: Optimize workloads across Fabric (Lakehouse/Warehouse) environments for performance, scalability, and efficient data processing.
• Real-Time Data Solutions: Develop real-time data streaming solutions with Azure Stream Analytics and Azure Event Hubs to support analytics and reporting.
• Big Data Processing: Leverage PySpark and Databricks for large-scale data processing, ensuring scalability and high performance.
• Collaboration and Modeling: Work with data architects and stakeholders to design and maintain data models and structures for efficient storage and retrieval.
• ERP Integration: Implement seamless integration of ERP systems into data lakes, ensuring data flow and accessibility.
• Optimization: Monitor and optimize SQL queries and data pipelines to enhance performance and minimize latency.
• Data Quality: Implement data quality checks and monitoring systems to ensure data integrity and accuracy.
• Cloud Migration: Participate in migrating on-premises data solutions to Azure, following best practices for security and compliance.
• Continuous Learning: Stay updated on Azure features and data engineering practices to contribute to team improvements.

What We Are Looking For

This role requires expertise in MS SQL, Azure Cloud Data Services, schema design, and modeling tools, along with strong analytical, communication, and multitasking skills to thrive in a dynamic, fast-paced environment.

Education

• Bachelor’s degree in Computer Science/Engineering

Experience

• 4+ years of Information Technology experience with a focus on data warehousing, ETL development, and data modeling
• 2+ years of experience in data engineering, with a focus on Azure services
• 2+ years of DB development using MS SQL

Preferred Qualifications

• Proficient in SQL Server, SSIS, and Azure SQL Database
• Strong programming skills in Python
• Hands-on experience with PySpark and distributed data processing, including performance tuning and optimization in Databricks/Fabric environments
• Experience working with manufacturing or industrial data (ERP, shop-floor systems, IoT data) is an added advantage

Technical Knowledge and/or Abilities

• Proficient with Azure Data Factory, Azure Databricks, and Azure Stream Analytics
• Strong understanding of real-time data processing and data streaming concepts
• Strong understanding of data warehousing concepts including dimension modeling, ETL architecture, slowly changing dimensions (SCD), and data lifecycle management
• Familiar with data modeling techniques (Star Schema, Snowflake Schema)
• Azure certification (e.g., Azure Data Engineer Associate) preferred; exposure to Microsoft Fabric (Lakehouse, Data Warehouse, Pipelines, and OneLake architecture) is a strong plus
• Experience with SSIS or equivalent ETL tools for analyzing, designing, and developing ETL packages
• Skilled in T-SQL, PL/SQL, and a programming language
• Expertise in stored procedures, SQL performance tuning, and database query optimization
• Ability to analyze SQL performance, load, and concurrent use issues in complex architectures
• Excellent problem-solving, attention to detail, and communication skills
• Flexibility to work overtime or weekends to meet deadlines
• Ability to document processes and workflows for future reference

We are the ASSA ABLOY Group

Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access.

As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.

As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.