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Description:
We are seeking a skilled Data Engineer to join our dynamic team.
The ideal candidate will have a strong background in data processing and analytics, with expertise in Python and SQL.
You will be responsible for designing, building, and maintaining scalable data pipelines and ensuring the integrity and availability of data for analysis.
This role requires collaboration with data scientists, analysts, and other stakeholders to support data-driven decision-making across the organization.
Location: We are seeking talents from Colombia.
Job responsibilities include designing, developing, and maintaining robust data pipelines to process large volumes of data from various sources.
You will collaborate with data scientists and analysts to understand data requirements and deliver high-quality datasets.
You will optimize data storage and retrieval processes to improve performance and efficiency.
Implementing data quality checks and monitoring to ensure the accuracy and reliability of data is also part of your responsibilities.
You will work with cloud-based technologies, particularly Databricks, to manage and analyze data.
Participation in Agile development processes, including sprint planning and retrospectives using Jira, is expected.
You will document data processes, architectures, and workflows for future reference and compliance.
Staying updated with industry trends and best practices in data engineering and analytics is essential.
Requirements:
Proficient in Python as a core programming language for data manipulation and analysis.
Strong knowledge of SQL for querying databases and performing data transformations.
Experience with PySpark for processing large datasets in a distributed computing environment.
Familiarity with Databricks is a plus, enabling efficient data processing and collaboration.
Understanding of data warehousing concepts and ETL processes is required.
Experience working in Agile environments, particularly with Scrum methodologies (not as a Scrum Master).
Proficient in using Jira for project management and tracking progress.
A minimum of 3 years of experience in data engineering or related fields is necessary.
A proven track record of building and maintaining data pipelines in production environments is essential.
Excellent communication skills to effectively collaborate with cross-functional teams are required.
Strong problem-solving abilities and attention to detail are necessary.
Benefits:
The position offers the opportunity to work remotely, providing flexibility in your work environment.
You will be part of a dynamic team that values collaboration and innovation.
The role allows for professional growth and development in the field of data engineering and analytics.
You will have the chance to work with cutting-edge technologies and industry best practices.
Participation in Agile development processes fosters a collaborative and efficient work culture.