Data Engineering
IBM
**Introduction**
About Business Unit :
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**Your role and responsibilities**
Data Engineers are responsible for designing, developing, and optimizing scalable data architectures that power data-driven products and services. They leverage cloud platforms, big data technologies, and advanced analytics to build robust, high-performance data solutions that enable seamless data flows, reliability, and scalability.
In this role, you will combine technical expertise—through the design and deployment of data models, data warehouses , data pipelines, event-driven processes, and governance and quality frameworks—with strategic collaboration across teams. You will work closely with stakeholders and B38data practitioners to align data strategies with business objectives, ensuring that data is efficiently collected, processed, and leveraged for decision-making and innovation.
As a Data Engineer, you will play a critical role in shaping a data- and AI-driven organization, providing essential infrastructure and tools to support business teams, machine learning initiatives, and enterprise-wide artificial intelligence applications. Your contributions will enable the organization to harness the full potential of its data, drive automation, and foster a culture of continuous innovation and data excellence.
**Required technical and professional expertise**
* Proficiency in Cloud platforms such as Azure and AWS and expertise in Big Data frameworks like Hadoop, Spark and Kafka to build scalable data systems and manage large datasets effectively.
* Knowledge in data modeling, data warehousing, and building ETL/ELT pipelines.
* Ability to design and deploy event-driven architectures, as well as data lakes and data warehouses.
* Knowledge in building data pipelines.
* Knowledge of data governance practices such as data quality, profiling, cleansing.
* Expertise in programming languages such as Python and SQL for data processing, transformation, and automation.
* Familiarity with data analysis using tools like Pandas PySpark.
* Knowledge in Git for collaborative development.
* Strong ability to collaborate with cross-functional teams, understand business needs, and translate those needs into technical solutions.
* Excellent communication and documentation skills to convey complex technical concepts to both technical and non-technical stakeholders.
* Languages: Portuguese and English
**Preferred technical and professional experience**
* Preferred professionals with hands-on experience in designing, building, and operationalizing batch and real-time data pipelines using key Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Azure Functions (Python).
* Proficient in working with Azure Data Platform components for data storage and transformation, including Azure Synapse Analytics with Spark and SQL.
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