Ingeniero de Datos Senior - Plataforma de Análisis Avanzado

Placements24

Región Centro

Hybrid

MXN 700,000 - 950,000

Full time

40 hours ago
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Benefits offered by this job

Health insurance
Hybrid work model
Continued learning & certifications

Job summary

Placements24 is seeking a Senior Ingeniero de Datos to join its Investigación y Desarrollo team in Zapopan, Jalisco. This hybrid role focuses on designing, building, and maintaining scalable data pipelines and data infrastructure to enable advanced analytics and ML initiatives.

The ideal candidate has 5+ years in data engineering, strong SQL and programming skills, and hands-on experience with cloud platforms like AWS, Azure, or GCP, plus expertise in data modeling and governance.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related quantitative field.
  • 5+ years of professional experience in data engineering or similar roles.
  • Strong SQL skills and proficiency in at least one major programming language (Python/Java/Scala).
  • Hands-on experience with cloud data platforms (AWS Redshift/S3/Glue; Azure Data Factory/Synapse; GCP BigQuery/Dataflow).
  • Experience with big data technologies such as Spark or Hadoop.
  • Familiarity with data warehousing concepts, dimensional modeling, and data governance.
  • Experience with orchestration tools like Airflow or Prefect.
  • Excellent problem-solving and communication skills.
  • Ability to thrive in a hybrid work environment.

Responsibilities

  • Design, develop, and optimize robust ETL/ELT data pipelines.
  • Build and manage data warehouses and data lakes on cloud platforms.
  • Implement data quality frameworks and ensure data integrity.
  • Collaborate with data scientists and analysts to understand data needs.
  • Develop and maintain data models for analytics and reporting.
  • Monitor pipeline performance and optimize for efficiency.
  • Stay current with data engineering trends and technologies.
  • Document data pipelines, models, and governance policies.
  • Provide technical leadership and mentorship to junior data engineers.

Skills

SQL proficiency
Programming (Python/Java/Scala)
Data modeling
Data governance
Communication
Problem solving

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS Redshift
S3
Glue
Azure Data Factory
Synapse
BigQuery
Dataflow
Airflow
Prefect
Spark
Hadoop

Job description

About the Role

Our client, a prominent financial services company, is seeking a highly experienced Ingeniero de Datos Senior to join their innovative Investigación y Desarrollo team. This role, based in our Zapopan, Jalisco office, operates under a hybrid work model, promoting a blend of collaborative office work and remote flexibility. You will play a pivotal role in designing, building, and maintaining scalable data pipelines and infrastructure to support advanced analytics and machine learning initiatives. We are looking for a data architect with a passion for data quality, efficiency, and enabling data-driven decision-making across the organization. Your expertise will be crucial in shaping the future of our data platform.

Key Responsibilities
  • Design, develop, and optimize robust and scalable ETL/ELT data pipelines.
  • Build and manage data warehouses and data lakes on cloud platforms (e.g., AWS, Azure, GCP).
  • Implement data quality frameworks and ensure data integrity across all data assets.
  • Collaborate with data scientists and analysts to understand their data needs and provide reliable data solutions.
  • Develop and maintain data models that support analytical and reporting requirements.
  • Monitor data pipeline performance, troubleshoot issues, and implement performance improvements.
  • Stay current with emerging trends and technologies in data engineering and big data.
  • Document data pipelines, data models, and data governance policies.
  • Provide technical leadership and mentorship to junior data engineers.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of professional experience in data engineering or a similar role.
  • Strong proficiency in SQL and experience with at least one major programming language (Python, Java, Scala).
  • Hands-on experience with cloud data platforms (e.g., AWS Redshift, S3, Glue; Azure Data Factory, Synapse; GCP BigQuery, Dataflow).
  • Experience with big data technologies such as Spark, Hadoop, or similar distributed processing frameworks.
  • Familiarity with data warehousing concepts, dimensional modeling, and data governance.
  • Experience with orchestration tools like Airflow or Prefect.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, suitable for a hybrid work environment.
Benefits

We offer a competitive salary, comprehensive health, dental, and vision insurance, and a performance-based bonus program. Our hybrid work model in Zapopan provides a balance between in-office collaboration and remote flexibility. Employees benefit from continuous learning opportunities, including access to training, certifications, and industry conferences. Join a dynamic team focused on innovation and contribute to building a state-of-the-art data platform that powers critical business insights and advanced analytics.

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