Data Engineer Lead
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Sueldo (MXN)
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Lugar
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Tipo de puesto
CodersLink
Job information
Job Role Data Scientist
Level Senior
Job Role Experience (in years) 4-7
Descripción del empleo
Requirements
Benefits
- Experienced data engineer capable of creating and implementing a large-scale, online data
- management system for a start-up technology company focused on using both structured and
- unstructured data to train predictive models and drive real-time business decisions
- If you enjoy learning new things and are excited by the challenge of building a modern cloud native
- data stack from the ground up without being constrained by legacy technology, this job is for you!
Duties & Responsibilities:
- Lead design, development, and optimization of a modern data technology stack (including ELT pipelines, cloud-based data warehouse, and large-scale online processing systems)
- Understand all data sources and structures in order to facilitate data transformation and maintenance
- Develop set processes for data modeling, mining, and production. Design and implement processes to prepare data models for use in predictive modeling and BI workstreams.
- Apply software engineering best practices to the production and maintenance of analytics code.
- Ensure data models are properly tested and documented and run reliably in a production environment
- Service as both technical lead and manager for a growing data engineering team. Think strategically about business, product, and technical challenges
- Strong commitment to teamwork, sharing knowledge, and constant learning. No one can be expected to know everything about rapidly changing best practices in data technology – let’s learn together!
Requirements
- Bachelor’s degree in computer science, engineering, or similar
- 5 years minimum. Financial technology or technology startup experience would be ideal
- Familiar with agile methodologies (e.g., Scrum, Kanban)
- Must know with Git, useful to have familiarity with Bitbucket
- Must be familiar with automated tests to ensure code quality & accuracy
- Experience with continuous integration of cloud-based ELT pipelines for ingesting and replicating data. Some familiarity with managed ELT pipeline solutions (e.g., Stitch, FiveTran) is a plus
- Practical experience working with an analytics team using BI software (e.g., Looker, Mode,Tableau, or similar) and preparing data models for predictive modeling. Familiarity or even curiosity about building or deploying machine learning models is a plus
- 3+ years development experience with large scale cloud based database platforms (e.g., AWS Redshift, BigQuery, Azure, Snowflake)
- Strong knowledge and hands on expertise with Python, Jenkins, and SQL
- Experience working with scripting language such as Ruby or Go is a plus
- Experience with streaming data sources and decision models (e.g., Apache Kafka)
- Experience with database architecture including SQL and NoSQL (e.g., Redis, MongoDB, ELK)
- Familiarity with data transformation modeling software (e.g., Apache Airflow, dbt) is a plus
- Speaks Spanish & English
Benefits
- Law benefits