Data Engineer I: Build Scalable Data Pipelines & Warehouses

Kroll; Estado de México; On-site; MXN 448,109 - 627,352; Full time

Job summary

A global risk and financial advisory leader is seeking an experienced Data Engineer I in Mexico, Estado de México. You will design and manage data pipelines, ensuring data quality and performance. Your expertise in SQL and cloud platforms like AWS or Azure will be crucial in optimizing our data architecture. This role involves a commitment to improving processes and ensuring compliance with data security standards. Join us to contribute to impactful solutions and elevate your career.

Qualifications

• Proficient in SQL for complex data retrieval and manipulation.
• Experience with Microsoft SQL Server and PostgreSQL on AWS or Azure.
• Strong understanding of ETL processes and data cleaning techniques.

Responsibilities

• Design and build data pipelines ensuring smooth data flow.
• Manage data warehouses to optimize queries and maintain quality.
• Develop and optimize ETL processes for structured data.

Skills

SQL (T-SQL, PL/pgSQL, Spark-SQL)

Data Pipeline Design

ETL Processes

Data Quality Assurance

Database Management Systems

Cloud Platforms (AWS, Azure)

Programming (Java, C#.NET, Python)

Data Warehousing Concepts

Education

Master’s degree in Technology, Data Science, Mathematics, or Statistics

Tools

Apache NiFi

Informatica

Airflow

AWS

Azure

SQL Server

PostgreSQL

Job description

A global risk and financial advisory leader is seeking an experienced Data Engineer I in Mexico, Estado de México. You will design and manage data pipelines, ensuring data quality and performance. Your expertise in SQL and cloud platforms like AWS or Azure will be crucial in optimizing our data architecture. This role involves a commitment to improving processes and ensuring compliance with data security standards. Join us to contribute to impactful solutions and elevate your career.