Data Engineer (Castro Urdiales)

Ust
Castro Urdiales, Spain
2 days ago

Role details

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

Job location

Castro Urdiales, Spain

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Apache HTTP Server
Bash
Continuous Integration
Data Governance
ETL
Data Mart
Data Warehousing
Github
Python
Scala
SQL Databases
Spark
Data Pipelines

Job description

Data EngineerWe are looking for a Data Enginee r to contribute in a project with one of our global customers.We are building a very strong team comprised of high calibre professionals that will work closely with the client to deliver impactful programs.They will collaborate with cross-functional teams to deliver scalable data pipelines, data warehouses, and data marts, ensuring data quality, security, and regulatory compliance.RequirementsStrong understanding of when to use a wide range of tools, rather than limited hands-on experience with a narrow set of technologies.We are looking for engineers who know when to apply different tools and technologies-and when not to.Experience with the following technologies: Spark / Scala, Python, SQL.Experience with AWS services: S3, Glue, Athena, EMR, EC2, and Lambda: ETL process design and data modeling.Ability to learn and develop end-to-end knowledge of processes, enabling sound decision-making.Analytical thinking, with the ability to anticipate edge cases and future scalability challenges.Strong problem-solving skills.High attention to detail.Nice to HaveFamiliarity with CI/CD tools (e.g., GitHub Actions).Experience with Apache Iceberg or similar table formats.Knowledge of data quality frameworks (e.g., Great Expectations, Deequ).Knowledge of Bash and HCL is a plus.#J-*****-Ljbffr

Requirements

Strong understanding of when to use a wide range of tools, rather than limited hands-on experience with a narrow set of technologies. We are looking for engineers who know when to apply different tools and technologies-and when not to. Experience with the following technologies: Spark / Scala, Python, SQL. Experience with AWS services: S3, Glue, Athena, EMR, EC2, and Lambda: ETL process design and data modeling. Ability to learn and develop end-to-end knowledge of processes, enabling sound decision-making. Analytical thinking, with the ability to anticipate edge cases and future scalability challenges. Strong problem-solving skills. High attention to detail. Nice to Have Familiarity with CI/CD tools (e.g., GitHub Actions). Experience with Apache Iceberg or similar table formats. Knowledge of data quality frameworks (e.g., Great Expectations, Deequ). Knowledge of Bash and HCL is a plus. #J-*****-Ljbffr

Apply for this position