Description:
Data Engineers will focus on the design and build out of data models, codification of business rules, mapping of data sources to the data models (structured and unstructured), engineering of scalable ETL pipelines, development of data quality solutions, and continuous evaluation of technologies to continue to enhance the capabilities of the Data Engineer team and broader Innovation group.

Duration:
Contract confirmed until EOY
No possibilities of extensions or FTE conversion

Location:
Fully remote position in Mexico

Must-Have Requirements:
5 years of overall industry experience with a minimum of 2 years experience working preferably as a data engineer, business systems analyst, data analyst, or similar role.
Minimum Degree Required: Bachelor's degree in one of the following: Accounting, Finance/Economics, Management Information Systems, Computer Science, Business Administration, Statistics Mathematics, Regulatory Compliance, Science, Technology, Engineering, Mathematics and/or other business field of study.
Bilingual in English/Spanish

Technical Skills Required:




Object-oriented/object function scripting languages: Python, R, C/C++, Java, Scala, etc.
Relational SQL, distributed SQL and NoSQL databases: MSSQL, PostgreSQL, MySQL, etc. MemSQL, CrateDB, etc.
MongoDB, Cassandra, etc. Neo4j, AllegroGraph, ArangoDB, etc.
Big data tools such as Hadoop, Spark, Kafka, etc.
Data modeling tools such as ERWin, Enterprise Architect, Visio, etc.
Data integration tools such as SSIS, Informatica, SnapLogic, etc.
Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Business Intelligence Tools such as Tableau, PowerBI, Zoomdata, Pentaho, etc.
Cloud technologies such as SaaS, IaaS and PaaS within Azure, AWS or Google Linux and comfortable with bash scripting Docker and Puppet

Knowledge Preferred:
Working knowledge of Python and experience with data extraction, data cleansing and data wrangling;
Working knowledge of SQL and experience with relation

📌 Data Engineer (Ciudad de México)
🏢 Corus Consulting an Alten
📍 Ciudad de México