$ 70,000 a 80,000
Nivel de Inglés
We work with talented people from all over the world. From designers to customer service consultants, vendors to marketers; we all share the same goals that have contributed to the company's unprecedented success in recent years.
If you are a Lead Data Engineer and you have good coding skills, strong data modeling skills and an interest in data mining and machine learning, this position is for you.
Your main tasks will be:
You will lead a team of data/backend engineers, data scientists and business intelligence analysts from a technical standpoint. You should have past management experience of such profiles and feel comfortable having a conversation with each of them while leading their specialized efforts towards achieving business goals.
You will partner with Business Area Leads, form, articulate and defend independent viewpoints while having the ability to seamlessly translate technical and business needs in both directions.
You should especially master Python and SQL at a high level. A big part of our infrastructure is written in Python, and we use relational models for all our products (it is a good sign if you have a strong opinion on whether that is a good idea or not)
Our dreamed candidate:
• • • •
• • • • •
5 years of experience as a Data Engineer.
2 years leading a Data Team.
Strong knowledge in Data Science best practices.
Strong knowledge of Spark, Hive, Glue, Athena, Redshift and/or other big data frameworks and tools
and their function within a data infrastructure
SQL and Python are mandatory.
Go or other backend language is a plus.
Best Practices for Data Warehousing.
Familiarity with CRM systems, Salesforce especially, a plus. Business English is mandatory.
What do we offer?
Salary Before Taxes around 80k
Upper Law Benefits:
○ 15 vacations days from the first year of employment
○ Special English Classes and Gym Prices
○ Basic and Major Medical Insurance
○ Life Insurance
As our candidate you will go through technical interviews with a focus on data structures, data modeling, SQL and ETL transformations.