Acceleration Center - Data Engineer - Manager

PwC; Región Centro; Hybrid; MXN 700,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Professional development opportunities

Data-driven culture

Job summary

PwC is seeking an experienced Data Engineer to join a leading data analytics team in Guadalajara. The role combines on-site collaboration with remote flexibility to design, build, and optimize data pipelines and storage infrastructure for large-scale datasets.

You will work with data scientists and analysts to ensure high data quality, governance, and scalable solutions across cloud platforms and data warehouses. A proactive problem-solving mindset and strong SQL skills are essential.

Qualifications

• A Bachelor's or Master's in CS/Engineering/Statistics or related field is required.
• 4+ years of data engineering experience and strong SQL skills are essential.
• Proficiency in Python or Scala and experience with ETL/ELT processes.
• Hands-on cloud data platform experience (AWS/GCP/Azure) is expected.
• Knowledge of data warehousing concepts and data modeling is required.
• Ability to work in a hybrid on-site/remote environment and collaborate with teams.

Responsibilities

• Design, build, and maintain scalable data pipelines for ETL/ELT.
• Develop data warehouses and data lakes using cloud technologies.
• Ensure data quality, integrity, and consistency across systems.
• Collaborate with data scientists, analysts, and stakeholders to define data needs.
• Implement data governance and security best practices.
• Automate data processes and monitor pipeline performance.
• Develop and maintain data models to support reporting and analytics.
• Explore new data technologies to improve infrastructure and efficiency.
• Write efficient SQL queries and scripts for data extraction and transformation.
• Contribute to overall data strategy and architectural decisions.

Skills

Python

Scala

SQL

Data warehousing

ETL/ELT

Spark

Hadoop

Kafka

Cloud data platforms

Hybrid collaboration

Education

Bachelor's or Master's in Computer Science/Engineering/Statistics

Tools

AWS Redshift

S3

Glue

Azure Data Factory

Synapse

BigQuery

Cloud Storage

Job description

Our client, a leading data analytics firm focused on leveraging big data to drive business insights, is seeking an experienced Ingeniero de Datos (Data Engineer) to join their team in Guadalajara. This hybrid role combines on-site collaboration with remote flexibility, allowing you to contribute to building and optimizing robust data pipelines and infrastructure. The ideal candidate will have a strong background in data warehousing, ETL processes, and working with large-scale datasets. You will be responsible for designing, implementing, and maintaining data solutions that enable data scientists and analysts to derive meaningful insights. This position requires a proactive approach to problem-solving, a passion for data quality, and a solid understanding of cloud data platforms. If you are skilled in transforming raw data into actionable intelligence and thrive in a collaborative, data-driven environment, we encourage you to apply.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines for data ingestion, transformation, and loading (ETL/ELT).
• Develop and optimize data warehouses and data lakes using cloud-based technologies (e.g., AWS, Azure, GCP).
• Ensure data quality, integrity, and consistency across all data systems.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Implement data governance and security best practices.
• Automate data processes and monitor pipeline performance, identifying and resolving issues proactively.
• Develop and maintain data models to support reporting and analytical needs.
• Explore and evaluate new data technologies and tools to improve data infrastructure.
• Write efficient and optimized SQL queries and scripts.
• Contribute to the overall data strategy and architecture of the organization.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in data engineering or a similar role.
• Proficiency in programming languages commonly used in data engineering, such as Python or Scala.
• Strong experience with SQL and relational database systems (e.g., PostgreSQL, MySQL).
• Hands-on experience with cloud data platforms (e.g., AWS Redshift, S3, Glue; Azure Data Factory, Synapse; Google BigQuery, Cloud Storage).
• Experience with big data technologies such as Spark, Hadoop, Kafka.
• Familiarity with ETL/ELT tools and methodologies.
• Understanding of data warehousing concepts and best practices.
• Experience with data modeling techniques.
• Ability to work effectively in a hybrid environment, balancing on-site collaboration with remote tasks.
• Strong analytical and problem-solving skills.

Benefits

Join a dynamic and growing data analytics company in the vibrant tech hub of Guadalajara. This hybrid role offers a competitive salary, comprehensive benefits package, and opportunities for professional development in the rapidly evolving field of data science. Enjoy the flexibility of a hybrid work model, combining collaborative on-site work with the convenience of remote flexibility. You will have the chance to work with cutting-edge data technologies and contribute to impactful projects. Our client provides a supportive team environment and a culture that values innovation and continuous learning. Be at the forefront of data-driven decision-making.