Description
We are looking for an experienced Data Engineer I who is enjoys working in a fast-paced environment. You will get involved in every layer of our data stacks, looking at ways to improve performance, reliability and quality. You’ll help establish standards and communities of practice for our International Team of data professionals and developers. Your prior experience with working in diverse Enterprise architectures will help to modernize existing systems and build new solutions. You will be an integral part of our PCM engineering team, ensuring that client deliverables meet timing and quality expectations.

Day-to-Day Responsibilities:
- Data Pipeline Construction: Design and build data pipelines to ensure smooth data flow from multiple sources to data warehouses or lakes. This involves extracting, transforming, and loading (ETL) data to make it accessible for analysis.
- Data Warehousing: Manage data warehouses by modeling data for efficient queries, ensuring performance, and maintaining data quality. Common tools and platforms include Synapse, Snowflake, Redshift,



BigQuery.
- Data Integration and ETL Processes: Develop and optimize ETL processes to transform raw data into a structured format that analysts and data scientists can use. Tools like Apache NiFi, Informatica, and Airflow are often used in these processes.
- Data Quality Assurance: Implement data cleaning and validation processes to ensure data accuracy and consistency. This includes monitoring data pipelines for failures and addressing data-related issues promptly.
- Data Security: Implement security measures to protect sensitive data and ensure compliance with data privacy regulations. This involves setting up permissions and managing data access controls.
- Scalability and Performance Optimization: Design systems that can handle large volumes of data and ensure that the infrastructure can scale as the organization grows.

Essential Traits:
- Database Management and Technologies:
- Proficie

📌 Data Engineer I (México)
🏢 Kroll
📍 México