Data Analytics Engineer: Unlocking Insights for Property Ecosystem
Há 7 dias
About Quinto Andar
At Quinto Andar, we're revolutionizing the property ecosystem with innovative technologies and a commitment to excellence. As a leading player in Latin America's real estate market, we've set our sights on transforming the way people live and interact with their surroundings.
We're not just building homes; we're crafting experiences that bring joy, comfort, and a sense of community. Our team is dedicated to delivering exceptional services, from seamless transactions to personalized support.
With a strong focus on technology, we're empowering our customers to make informed decisions and navigate the complex world of property ownership with ease. By harnessing the power of data analytics, we're unlocking insights that drive business growth, optimize operations, and enhance customer satisfaction.
Job Description
We're seeking an experienced Data Analytics Engineer to join our team and contribute to the development of cutting-edge solutions that transform the property landscape. As a key member of our data engineering team, you'll play a vital role in designing, building, and maintaining large-scale data pipelines, data warehouses, and data visualization tools.
Your primary responsibilities will include:
Developing and maintaining high-quality, scalable data pipelines that extract, transform, and load (ETL) data from various sources
Designing and implementing data models, data marts, and data visualizations to support business decision-making and operational efficiency
Collaborating with cross-functional teams to identify business requirements, develop technical roadmaps, and implement data-driven solutions
Optimizing data processing, storage, and retrieval performance using cloud-based technologies and big data platforms
Ensuring data quality, governance, and security by implementing robust data validation, data lineage, and access control mechanisms
Requirements
To succeed in this role, you'll need:
3+ years of experience in data engineering, with a strong background in ETL/ELT, data warehousing, and data visualization
Proficiency in programming languages such as Python, Java, or Scala, with experience in working with big data technologies like Hadoop, Spark, or NoSQL databases
Strong understanding of data modeling, data architecture, and data governance principles, with experience in designing and implementing data management systems
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including data scientists, product managers, and business stakeholders
Experience with cloud-based technologies, such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics, with knowledge of containerization using Docker or Kubernetes
What We Offer
In return for your expertise, we offer a competitive salary package, including:
Base salary: $120,000 - $150,000 per year, depending on experience
Bonus structure based on individual and team performance
Much more
Diversity & Inclusion
We believe that diversity, equity, and inclusion are essential components of a thriving organization. We welcome applicants from diverse backgrounds and perspectives and are committed to creating an inclusive work environment where everyone feels valued and empowered to contribute.
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