Data Engineer
Mexico
With you, Chubb is better!
Are passionate with data infrastructure, metrics and coding? Do you love creating pipelines to support business? Would you like to be a member of a fun working environment where your innovative projects make a real impact? Then, check this outstanding opportunity in our new Technology Hub in Mexico – CBSM (Chubb Business Services Monterrey) as a Data Engineer.
If you are a tech lover and are raring to develop your career join our growing, pioneer, diverse team within one of the largest companies in the world, we would love to hear from you!
The Opportunity
Your Responsibilities for this role may include, but are not limited to:
- Conceptualize, support, and drive the data architecture for multiple large-scale projects as well as recommend solutions to improve processes.
- Integrate data from various sources and build robust, multi-functional data assets to support analytics. Responsible for data asset design, development, integration, and optimization.
- Must love coding – prepare to spend more than 80% of the time on hands-on development with groundbreaking technologies.
- Gatekeeper of end-to-end applications and frameworks ranging from system programming to micro-services to simple front-end applications
- Build pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. Moreover, clean, unify and organize messy and complex data sets for easy access and analysis.
- Collaborate with others to understand data needs, representing key data insights in a meaningful way.
- Ability to own complete project or a subject area delivery while leading team members in a scrum setting.
- Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
- Solve our most exciting data integration problems, applying optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
- Be the point of reference for solving a challenging technical problem
Knowledge, Skills, And Abilities
- At least 4 years of data/software engineering experience including data analysis, design and integration/ETL.
- Good knowledge of Informatica Intelligent Cloud Services (IICS)
- Strong knowledge of Python
- Experience with SQL
- Bonus points for
- PySpark
- Databricks
- Snowflake
- NoSQL
- Data Modelling
Our team makes a difference, every time. For this reason, we offer in return!
We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, private medical cover, monthly allowance for lunch, continuous learning experiences, work in a fun, lively environment with mentoring from our groundbreaking senior mentors.
Integrity. Client Focus. Respect. Excellence. Teamwork
Our core values instruct how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and encouraging.
Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness, and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We strive to achieve an environment where all colleagues feel comfortable performing to their full potential and are recognized for their contributions.
Many voices, One Chubb!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data analysis Databricks Engineering ETL Informatica NoSQL Pipelines PySpark Python Scrum Snowflake SQL Unstructured data
Perks/benefits: Career development Competitive pay Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs