We are seeking a Jr. Data Engineer to join our Applications Development team at Marsh. This is a hybrid role that has a requirement of working at least three days a week in the office. As a Data Engineer at Marsh, you will conceptualize and implement the setup and management of the data platform built Databricks services across different regions.
We will count on you to:
- Collaborate with stakeholders to understand data requirements and translate them into technical specifications
- Design, develop, and implement data pipelines and ETL processes, ensuring thorough unit testing to validate functionality and performance.
- Implement data quality checks and validation processes to ensure the accuracy and integrity of data throughout the pipeline
- Coordinate with cross-functional teams to ensure alignment on project goals, timelines, and deliverables
- Continuously monitor data workflows and pipelines for performance, reliability, and efficiency, implementing improvements as necessary
- Create and maintain comprehensive documentation for data processes,
architecture, and workflows to ensure knowledge sharing and compliance
What you need to have:
- Bachelor’s degree in computer science, Data Science, Information Technology, or a related field
- Proficiency in programming languages such as Python and SQL, along with experience in data modeling and database design
- 1 to 3 years of experience working as a Data Engineer and possess a strong understanding of ETL and ELT concepts
- Experience with API integration and Data ingestion from various sources, ensuring seamless data flow between systems
- Proven ability to work collaboratively in a team environment
- Good communication skills in English, both written and verbal, are essential.
What makes you stand out:
- Assertive communication, Adaptability and change management,
- Critical thinking, sense of urgency,
- Analytical, proactive
Why join our team:
- We help you be your best through
📌 Analyst - Data Engineering (Ciudad de México)
🏢 Marsh Mclennan
📍 Ciudad de México
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