Data Engineer

hace 2 semanas

Barcelona, Barcelona, España Nagarro A tiempo completo
Company Description

We're Nagarro.

We are a digital product engineering company that is scaling in a big way We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

We are seeking a skilled Data Engineer to design, build, and maintain scalable data platforms that support business intelligence, analytics, and data-driven decision-making. In this role, you will collaborate closely with business and technical stakeholders to develop reliable data pipelines and modern data architectures.

Key Responsibilities

  • Design, develop, and maintain data pipelines and data architectures
  • Implement and optimize ETL/ELT processes to support analytics and BI initiatives
  • Collaborate with stakeholders to understand and translate data requirements
  • Ensure data quality, performance, and reliability across platforms
  • Support cloud-based data solutions in an Agile/Scrum environment
Qualifications
  • 5+ years of experience in data engineering, BI, or IT roles
  • Advanced proficiency in SQL.
  • Strong experience with ETL tools like: DBT, PWC, ODI, Datastage;
  • 3+ years of experience with cloud platforms (AWS and/or Azure)
  • 3+ years of experience with Apache Airflow.
  • Hands-on experience with Spark-based technologies (Spark, Glue, EMR)
  • Experience in scalable Python development (PySpark, Spark SQL)
  • Experience with relational or columnar databases (Oracle, SQL Server, Redshift)
  • Experience with BI tools such as Tableau, Qlik, or OBIEE 
  • Strong communication skills with English proficiency
  • Ability to work effectively in multicultural and cross-functional teams
  • Organized, detail-oriented, and proactive problem solver
  • Willingness to learn and adapt to new technologies
Additional Information

Nice to Have

  • Data Warehousing or BI certifications
  • Experience in knowledge sharing or mentoring

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