Developer Analyst (Spark/Scala Developer) - 100 % remote

Das ist der Job

We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

Darum lohnt es sich

We are looking for the very Top Talent…and we would be delighted if you were to join our team! The ideal candidate will contribute to the definition and automation of Market Risk processes developed using Spark Scala and collaborate within a Big Data-focused team responsible for common data engineering activities.

Collaborate with cross-functional teams on shared Big Data initiatives and best practices. Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).

Free access to several training platforms Professional stability and career plans UST also, compensates referrals from which you could benefit when you refer professionals.

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. What we look for?

We are looking for a Developer Analyst (Spark/Scala Developer) with solid experience in Big Data technologies, ETL design, data modeling, and data validation. Main tasks and accountabilities will be: Participate in the definition, development, and automation of Market Risk processes using Spark and Scala.

Design, develop, and maintain ETL processes and data models. Perform data testing, validation, and quality assurance activities. Develop and optimize solutions on Big Data platforms, including Spark and Hadoop. Write and optimize advanced SQL queries for data processing and analysis.

Support the implementation and enhancement of data workflows and processing pipelines. What do we expect from you? Mandatory requirements: 3 to 5 years of experience in technology projects, ETL design, data modeling, and data testing/validation. Strong technical knowledge of: Scala Hadoop Advanced knowledge of SQL.

Basic knowledge of Shell Scripting. Nice to have: Experience with Azure Databricks. Experience in the Banking sector, particularly Market Risk. Knowledge of Airflow as a workflow/pipeline management tool. Work Schedule Business hours. What can we offer? 23 days of Annual Leave plus the 24th and 31st of December as discretionary days!

The option to pick between 12 or 14 payments along the year.

Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…) UST Club Platform discounts and gym Access discounts In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality.

We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate. Skills Apache Airflow, Apache Spark, Data Modeling, Data Validation, Databricks, Hadoop, ETL, SQL, Scala, Shell Scripting