Data Engineer

Quantori

Cuenca, Spain

7 days ago

Apply on www.buscojobs.com.es

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.buscojobs.com.es

Tech stack

Airflow Amazon Web Services Microsoft Azure Big Data Cloud Engineering Information Engineering Extract Transform Load (ETL) Data Structures Data Systems Data Warehousing Database Queries Python (Programming Language)

+12 more

Software Architecture Scala (Programming Language) SQL Databases Google Cloud Snowflake Apache Spark Data Lakes Production Code Data Management Sbt (Software) Data Pipelines Databricks

Job description

At Quantori we are seeking a Data Engineer for an ongoing Life Science project to be engaged in building data pipelines and leveraging cloud technologies.The team works in the Central European Time.Responsibilities: - Data organization and analysis: handling structured, semi-structured, unstructured, and image-based data.- Building data systems and pipelines - Preparing data for prescriptive and predictive modeling - Designing end-to-end pipelines within a hybrid big data architecture, using Cloud Native Azure, Databricks, Spark, Scala, sbt, Airflow, Python, SQL, etc.- Leveraging Azure Cloud services for building data pipelines and ensuring effective monitoring What we expect: - 5+ years of relevant experience in the Data Engineering field - Expertise in Spark - Expertise in Databricks - Experience in working with Azure Cloud - Strong SQL skills - Experience with building Data lakes, Data warehouses, and ETL solutions - Understanding of data structures, data modeling, and software architecture - Analytic and problem solving skills Nice to have: - Expertise with Snowflake and related technologies (e.g. dbt) - Ability to write robust code with Scala - Proficiency with public clouds (AWS, GCP, Azure) We offer: - Competitive compensation - Fully remote work - Flexible working hours - Continuous education, mentoring, and professional development programs - A team with an excellent tech expertise

Requirements

Leveraging Azure Cloud services for building data pipelines and ensuring effective monitoring What we expect: - 5+ years of relevant experience in the Data Engineering field - Expertise in Spark - Expertise in Databricks - Experience in working with Azure Cloud - Strong SQL skills - Experience with building Data lakes, Data warehouses, and ETL solutions - Understanding of data structures, data modeling, and software architecture - Analytic and problem solving skills Nice to have: - Expertise with Snowflake and related technologies (e.g. dbt) - Ability to write robust code with Scala - Proficiency with public clouds (AWS, GCP, Azure) We offer: - Competitive compensation - Fully remote work - Flexible working hours - Continuous education, mentoring, and professional development programs - A team with an excellent tech expertise