Data Engineer transforming legacy on - premises systems to cloud - native architectures for advanced data analytics. Collaborating with teams to build efficient data solutions using Python and AWS.
About the role
- Data Engineer developing data models and implementing ETL processes on cloud platforms. Working internationally in the Big Data Cluster to support data scientists at Commerzbank.
Responsibilities
- Developing data models, designing and implementing ETL processes on cloud platforms (in particular Google Cloud)
- Assist in the design, development, and implementation of fronted frameworks using Javascript, React JS, TypeScript and SQL-based software solutions
- Share best development practices like writing clean, efficient code, performing code reviews, implementing IaC and CI/CD, testing, etc.
- Driving technical discussions and implementing new features to enable new business cases
- Focusing on stability, performance tuning and innovation of the applications
- Taking care of proper up-to-date system documentation
- Coaching colleagues and end users, actively contributing to knowledge sharing and to a learning culture
- Working in the international projects in agile methodologies
Requirements
- Good knowledge of SQL / Data Engineering
- Good knowledge of Python
- Good knowledge of Javascript/Typescript and React JS
- Good knowledge of Git/Bitbucket
- Good knowledge of Microservices and API
- Basic knowledge of Cloud
- English level B2
Benefits
- Development Plans for employees
- Life insurance
- Flexible working hours
- Integration events
- Much more
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineering Academy focused on Snowflake and Databricks for professionals interested in expanding their technical capabilities. Fully remote with future office work in Monterrey or Saltillo after completion.
Senior Data Engineer at Intent HQ designing and scaling data platforms. Building high - impact intelligence from millions of customer insights with a focus on performance and reliability.
SAP Data Engineer supporting MERKUR GROUP's evolution into a data - driven company. Responsible for data integration, modeling, and collaboration with various departments in Group Finance.
Data Engineer at Booz Allen Hamilton organizing data and developing advanced technology solutions. Leading data engineering activities for mission - driven projects and mentoring multidisciplinary teams.
Senior Data Engineer at Bristol Myers Squibb developing scalable data pipelines for foundational products. Collaborating with data scientists and IT professionals to ensure data quality and accessibility.
Sr. Data Engineer building and maintaining data infrastructure for Purpose Financial. Collaborating with teams to improve data services and analytics.
Data Engineer II role focusing on developing and maintaining data pipelines for analytics. Collaborating with Data Science and Analytics teams to ensure data quality and reliability.
Senior Data Architecture Specialist designing and maintaining data integration solutions for Morgan Stanley. Involved in building data architecture and optimizing data storage using various technologies.
Lead Data Engineer responsible for building and maintaining the central HR data lake. Collaborating with analysts and business stakeholders for data - driven decision making.