Senior Data Engineer (PySpark, Kafka, GCP)

Who we are

Apex Systems is a leading Data and Digital Transformation professional services organisation focused on delivering solutions that deliver real business value. We build authentic partnerships with our clients, offering objective counsel from concept to deployment to ensure a consistent voice in a dynamic IT environment

Required Experience & Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
- 5+ years of experience
in Data Engineering or Software Engineering.
- Strong hands-on experience with
Python
.
- Proven experience building and optimizing
batch and real-time data pipelines
using
PySpark, Spark SQL, and Spark Streaming
.
- Strong expertise writing and optimizing
complex SQL queries
for large-scale datasets.
- Experience working with
Apache Kafka
and event-driven architectures.
- Experience with
Google Cloud Platform (GCP)
, including
BigQuery
and
Dataproc
.
- Experience working with
RESTful APIs
for data ingestion and integration.




- Hands-on experience implementing
CI/CD pipelines using GitLab CI
.
- Strong understanding of
data modeling, distributed systems, and scalable data architectures
.
- Experience working with
relational and NoSQL databases
.
- Experience supporting
high-volume, real-time data processing environments
.

Preferred Qualifications
- Experience with
Scala
.
- Exposure to
Java and Spring Boot
development.
- Experience working in
high-scale data environments
.
- Familiarity with
pair programming, code reviews, and collaborative engineering practices
.
- Experience designing and supporting
event-driven data platforms
.
- Strong communication skills and ability to explain technical decisions and trade-offs.
- Experience partnering with cross-functional teams in agile environments.

Technical Stack Core
- Python
- Apache Spark (PySpark, Spark SQL, Spark Streaming)
- Apache Kafka
- Advanced SQL

Cloud & Dat

📌 Senior Data Engineer (México)
🏢 Apex Systems
📍 México