Pessoa Coordenadora em Engenharia de Dados

As a Pessoa Coordenadora em Engenharia de Dados at Serasa Experian, your primary responsibilities include leading data projects from the mapping of requirements to the modeling of architecture and ensuring that data is readily available. You will also contribute to the design, documentation, maintenance, and optimization of our data tools, as well as identify opportunities for improvements in our ETL/ELT platform, leveraging technologies like Databricks and Apache Airflow.

To qualify for the Pessoa Coordenadora em Engenharia de Dados position at Serasa Experian, candidates should have experience in implementing and maintaining data pipelines, particularly in PySpark. Strong SQL skills for optimizing complex queries and proficiency in Python or Scala programming are essential. Familiarity with data architecture techniques like Data Mart, Data Lake, and Data Warehouse is also important, along with a clear understanding of software development best practices.

To succeed as a Pessoa Coordenadora em Engenharia de Dados at Serasa Experian, you should not only focus on your technical skills but also hone your communication abilities to effectively collaborate with both technical teams and business stakeholders. Staying updated with the latest trends and practices in data engineering will also help you identify improvement opportunities and prepare effective data solutions.

A Pessoa Coordenadora em Engenharia de Dados at Serasa Experian should be well-versed in using tools and technologies such as Databricks with Spark, Python, Scala, and Apache Airflow. Familiarity with ETL/ELT processes, database techniques, and best practices in software development are also crucial for delivering high-performing data solutions.

Serasa Experian promotes a culture of inclusivity and well-being for its employees in the Pessoa Coordenadora em Engenharia de Dados role. The company emphasizes a work-life balance and is committed to fostering a supportive environment where individuals can thrive in their careers while managing personal commitments.

When answering this question, provide specific examples of data pipelines you've built or maintained, focusing on the technologies you've used, such as PySpark or Apache Airflow, and how you addressed challenges during the process.

Discuss your process for gathering business requirements, collaborating with stakeholders, and how you translate those needs into technical specifications. Highlight any frameworks or methodologies you prefer.

Mention your proficiency in programming languages like Python or Scala, and give examples of projects where you've successfully used them to resolve complex issues in data processing.

Talk about your strategies for writing efficient SQL queries, such as using indexes, avoiding duplicate data, and testing query performance to provide optimized results.

Share a specific example of a challenging data engineering project, detailing the obstacles faced, your role in overcoming them, and the positive outcome achieved as a result of your efforts.

Discuss your hands-on experience with ETL/ELT frameworks, the tools you are familiar with, and how you have optimized these processes in past projects.

Emphasize the importance of documentation in your work. Share techniques you use to maintain clarity, such as creating data dictionaries or using standardized formats for documents.

Describe your approach in facilitating communication and understanding between technical and non-technical teams, including regular updates, reports, and meetings.

Outline best practices such as writing modular code, conducting code reviews, implementing unit tests, and adhering to design patterns that you implement to maintain code cleanliness.

Express your enthusiasm for the company's mission and values, mentioning specific aspects of Serasa Experian's culture, innovation, and commitment to employee well-being that resonate with you.