ID Finance is looking for Senior Data engineer!
We develop digital financial services that will change the way people manage their finances.
With headquartes in sunny Barcelona, we work with a global team of over 450 people that are pioneering fintech innovation in Europe and Latin America.
Key responsibility:
Develop and support corporate DWH and ETL processes for it;
Describe and optimize a data structure of Datawarehouse;
Work closely with data science team and develop an infrastructure for scoring models implementation (CI&CD, FeatureStore e.t.c.)
Work closely with data analyst team and optimize a data structure for them
Organize a DQ (data quality) processes (analysis and control)
Required qualification:
4+ years of experience of working with corporate DWH
understanding of SQL/NoSQL databases (data modelling, data warehouse, architecture)
Good SQL and Python code writing skill
Experience with developing data model for unstructured domains
English intermediate or higher
Nice to have:
Experience with Clickhouse
Experience with BI tools like tableau/superset
Technological stack:
Python, Docker
Clickhouse, MySQL, MongoDB
Airflow
Tableau, Superset
Benefits:
● Private health and dental insurance.
● Discounted gym membership. ● Freedom to work from home two days a week.
● Kitchen with free coffee and fruit each Monday, Wednesday and Friday and snacks.
● Team building activities and work in an international and passionate environment.
Please, write to @annakamyak if you're interested
We develop digital financial services that will change the way people manage their finances.
With headquartes in sunny Barcelona, we work with a global team of over 450 people that are pioneering fintech innovation in Europe and Latin America.
Key responsibility:
Develop and support corporate DWH and ETL processes for it;
Describe and optimize a data structure of Datawarehouse;
Work closely with data science team and develop an infrastructure for scoring models implementation (CI&CD, FeatureStore e.t.c.)
Work closely with data analyst team and optimize a data structure for them
Organize a DQ (data quality) processes (analysis and control)
Required qualification:
4+ years of experience of working with corporate DWH
understanding of SQL/NoSQL databases (data modelling, data warehouse, architecture)
Good SQL and Python code writing skill
Experience with developing data model for unstructured domains
English intermediate or higher
Nice to have:
Experience with Clickhouse
Experience with BI tools like tableau/superset
Technological stack:
Python, Docker
Clickhouse, MySQL, MongoDB
Airflow
Tableau, Superset
Benefits:
● Private health and dental insurance.
● Discounted gym membership. ● Freedom to work from home two days a week.
● Kitchen with free coffee and fruit each Monday, Wednesday and Friday and snacks.
● Team building activities and work in an international and passionate environment.
Please, write to @annakamyak if you're interested