Data Engineer-Big Data. Teletrabajo

UST España
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Airflow
Big Data
Data Validation
ETL
Scala
SQL Databases
Spark
Databricks
Programming Languages
Control M

Requirements

experience in technology-related projects ~ High knowledge of SQL statements ~ Experience in ETL design and data models ~ Knowledge of Control-M and Job as Code ~ Experience in testing and data validation ~ English level (C1) Technical knowledge of programming languages (Scala) and Big Data technologies (Spark Scala, Databricks, Airflow). Hybrid Málaga. 3 days a week in the office. Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances). &##Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan…) &##Free access to several training platforms &##Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…) &##

About the company

More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies. &##We are looking for a Data Engineer , working close to one of our main clients in banking sector. &##Participation in Markets Data Hub tasks as a Data Engineer in the definition and automation of processes developed using Big Data technologies (Spark Scala, Databricks, Airflow) in Market Risk. The key responsibilities will not be those of a Spark Scala developer, but rather process definition, data preparation, request creation following the department's procedures for process automation and configuration, and execution and validation of integrated tests. Process automation will be achieved through software deployments via Job as a Code. &##4 years of

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