Description:

Mactores is a leader in providing modern data platform solutions, enabling businesses to accelerate their value through automation since 2008.
The Data Architect will solve business problems and has over 7 years of experience in Data Engineering.
The role involves collaborating with business stakeholders, Data Engineers, DevOps Architects, and Data Scientists to understand business domains and lead the development of data products.
Responsibilities include designing data architecture for high volume, velocity, and variety of data sets, defining technology stacks for projects, and exploring new technologies in data engineering.
The Data Architect will write efficient code using modern Data Engineering technologies, including Apache Kafka, AWS Glue, PySpark, Presto, Amazon Redshift, and SnowFlake.
The work environment is casual and focuses on productivity and creativity, steering clear of rigid corporate culture.

Requirements:

A Bachelor's degree in Computer Science, Engineering, or a related field is required.
At least 3 years of experience in Hadoop-based distributed computing, specifically with PySpark and Presto.
A minimum of 2 years of experience with at least one ETL tool such as Informatica, Talend, or Matillion.
At least 4 years of experience in one programming language, including Python, Java, or Scala.
A minimum of 3 years of experience with at least one data warehouse, such as Amazon Redshift or SnowFlake.
At least 2 years of experience with real-time processing engines like Storm, Spark Streaming, or Flink.
A minimum of 3 years of experience writing SQL queries.
Hands-on experience in data modeling, data visualization, and pipeline design and development is essential.
Candidates should have experience working independently and driving projects end-to-end, along with strong analytical skills.

Mactores promotes a culture that values decision-making, leadership, collaboration, and curiosity through its 10 Core Leadership Principles.
The recruitment process includes a structured assessment to evaluate technical proficiency and suitability for the role.
Equal opportunity employment practices are upheld, ensuring no discrimination based on race, religion, gender, national origin, age, disability, marital status, military status, or any other protected category.
The company encourages a fun and casual work environment that fosters creativity and productivity.