Senior Data Engineer: Modern Data Platforms & ETL

Capgemini

Aguascalientes

On-site

MXN 900,000 - 1,300,000

Full time

2 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Learning opportunities

Global team

Well-being programs

Job summary

Capgemini is seeking a Senior Data Engineer to drive a data modernization initiative for a leading financial services client. The role centers on transforming legacy SQL Server environments to scalable cloud-based platforms, and building robust ETL pipelines with Airflow, Snowflake and Databricks.

You will design data models, optimize SQL queries, and ensure data quality and governance across multi-cloud environments.

Qualifications

5+ years of experience in Data Engineering.
Advanced expertise in SQL with a focus on query optimization, data transformation, and performance tuning.
Proven experience designing and developing ETL and data processing solutions.
Strong ability to analyze, troubleshoot, and understand complex data pipelines and workflows.

Responsibilities

Design, develop, and optimize scalable ETL and data processing pipelines.
Lead the migration of legacy SQL Server environments to modern cloud-based data platforms.
Develop, optimize, and maintain complex SQL queries for data transformation, reporting, and performance improvement.
Build, schedule, and maintain data workflows using Apache Airflow.
Design and develop data processing solutions using Python.
Create and optimize data models, including schema design, partitioning strategies, and performance tuning.
Analyze, troubleshoot, debug, and enhance existing data pipelines and integrations.
Ensure high levels of data quality, integrity, reliability, and governance across platforms.
Collaborate with data architects, analysts, business stakeholders, and engineering teams to deliver business-critical data solutions.