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Senior Data Engineer I

hace 2 semanas

Ciudad de México, Ciudad de México Remitly A tiempo completo

About Us:

Working in data engineering at Elsevier means your work truly matters — it powers the insights that drive healthcare, education, and scientific discovery. As a Senior Data Engineer, you'll help build the foundation for data-driven decision making across the organization, collaborating with teams to deliver scalable, secure, and reliable data solutions.

About the Team:

Our Data Engineering team powers the backbone of Elsevier's analytics and AI platforms, enabling products like Scopus, ScienceDirect, and next‑generation research solutions. We design and maintain scalable data pipelines, ensuring reliable, high‑quality data delivery for advanced analytics, machine learning, and decision‑support systems. We foster a culture of innovation, collaboration, and continuous improvement—great ideas can come from anywhere.

About the Role:

We are seeking a Senior Data Engineer to design, develop, and maintain robust data pipelines and architectures that support large‑scale analytics and AI initiatives. You will work with modern technologies to ingest, transform, and deliver data efficiently, ensuring reliability, scalability, and compliance. This role involves close collaboration with analysts, scientists, and stakeholders to translate business requirements into technical solutions.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, Snowflake, AWS Glue, and Airflow.

  • Build and optimize ETL/ELT workflows to ingest, transform, and deliver data from diverse sources.

  • Implement data quality checks, monitoring, and alerting to ensure pipeline reliability.

  • Collaborate with analysts, scientists, and stakeholders to understand requirements and deliver solutions.

  • Establish and enforce data engineering best practices, coding standards, and design patterns.

  • Optimize query performance and data storage strategies in Snowflake and cloud data warehouses.

  • Implement CI/CD pipelines for automated testing and deployment of data workflows.

  • Monitor pipeline performance, troubleshoot issues, and implement improvements proactively.

  • Create and maintain technical documentation for data architectures, pipelines, and processes.

  • Participate in code reviews and provide constructive feedback to team members.

  • Mentor junior data engineers on modern tools, techniques, and best practices.

  • Stay current with emerging data technologies and evaluate their applicability to business needs.

  • Collaborate with DevOps and platform teams to ensure infrastructure scalability and reliability.

  • Support data governance initiatives and ensure compliance with security policies.

Requirements:

  • 5+ years of experience in data engineering or related field.

  • Bachelor's Degree in Computer Science, Engineering, or equivalent practical experience.

  • Expert proficiency in Python for data engineering, ELT development, and automation.

  • Strong SQL skills with experience in query optimization and performance tuning.

  • Hands‑on experience with Snowflake (SnowSQL, stored procedures, streams/tasks).

  • Proficiency with AWS data services: Glue, S3, Lambda, Redshift.

  • Experience with Apache Airflow or similar orchestration tools (Luigi, Prefect, Dagster).

  • Knowledge of data modeling principles (dimensional modeling, data vault, normalization).

  • Experience with streaming technologies (Kafka, Kinesis) and dbt for analytics engineering.

  • Understanding of DataOps, CI/CD for data pipelines, and infrastructure as code (Terraform).

  • Familiarity with version control (Git), code reviews, and collaborative development.

  • Knowledge of data quality frameworks (Great Expectations) and containerization (Docker/Kubernetes) is a plus.

  • Understanding of data governance, security best practices, and compliance requirements.

  • Strong problem‑solving skills and ability to research new technologies independently.

  • Excellent communication skills for technical and non‑technical audiences.

Work in a way that works for you:

We promote a healthy work/life balance across the organisation. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.

Working for you:

We know that your well‑being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Private Medical/Dental Plan

  • Savings Fund

  • Life Insurance

  • Meal/Grocery Voucher

About Elsevier:

Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare, and improve performance for the benefit of humanity. We empower professionals and institutions to realize the potential of information to improve academic, corporate, and clinical performance, expand human knowledge, and generate positive—often groundbreaking—outcomes in critical domains of human endeavor.



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