Propio is looking to enhance its data infrastructure to support data-driven decision-making processes and scale communication quality across industries.
Requirements
- Proven experience with designing and building scalable data pipelines and ETL processes.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
- Proficiency in SQL and experience with relational databases (e.g., MySQL, MSSQL, PostgreSQL).
- Strong programming skills in Python.
- Experience with big data technologies (Spark and PySpark).
- Familiarity with Cloud data warehousing solutions (e.g., Databricks, Snowflake, Azure).
- Knowledge of data modeling, data warehousing, and data lake concepts.
Responsibilities
- Design, implement, and optimize data pipelines for efficient data processing and analysis.
- Develop and maintain ETL (Extract, Transform, Load) processes to ensure data accuracy and availability.
- Ensure the scalability, reliability, and performance of data systems.
- Implement and maintain data security and privacy measures.
- Troubleshoot and resolve data-related issues and anomalies.
- Continuously improve and document data engineering processes and best practices.
- Develop and optimize complex SQL queries and stored procedures for data extraction and modeling.
Other
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Act as a subject matter expert and strategic advisor on data-related initiatives, ensuring alignment with organizational objectives
- Perform ad hoc data analytics and reporting to meet emergent business requirements.
- 3+ years of experience in a comparable data engineering role.
- Bachelor’s Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; or equivalent work experience.
