Senior AEM Developer

Puratos; León; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a Senior Data Engineer to enhance its brand presence in Spain. This role involves designing and optimizing data pipelines using Databricks, implementing data transformation solutions with Python and SQL, and ensuring data security and governance. The ideal candidate will have extensive experience in big data processing and Azure Data Lake Storage, along with strong problem-solving skills. Join a dynamic team that values innovation and creativity, and take part in a virtual-first work environment that promotes work-life balance and diversity.

Servicios

Career development opportunities

Virtual-first work environment

Work-life balance

Diversity and inclusion initiatives

Formación

• 5+ years of experience in Databricks and big data processing.
• Strong programming skills in Python and SQL.

Responsabilidades

• Design, develop, and optimize data pipelines and ETL workflows using Databricks.
• Collaborate with stakeholders to define data governance frameworks.

Conocimientos

Databricks

Python

SQL

Azure Data Lake Storage (ADLS)

Data Governance

ETL workflows

Performance tuning

Agile environment

Data Cataloging tools

CI/CD pipelines

Herramientas

Azure Data Factory (ADF)

Descripción del empleo

Our goal is to strengthen the brand in Spain. We are looking for an expert to work as a Senior Data Engineer!

What do you need to fulfill this job?

1. Design, develop, and optimize data pipelines and ETL workflows using Databricks.
2. Implement data transformation and processing solutions in Databricks using Python and SQL.
3. Ensure data security, governance, and compliance by following industry best practices.
4. Work with Azure Data Lake Storage (ADLS) to efficiently store, manage, and process large datasets.
5. Collaborate with stakeholders to define data governance frameworks and improve data quality.
6. Integrate Azure Data Factory (ADF) pipelines to support data ingestion and transformation processes.
7. Possess 5+ years of experience in Databricks and big data processing.
8. Have hands-on experience with Azure Data Lake (ADLS) for managing structured and unstructured data.
9. Maintain strong programming skills in Python and SQL.
10. Understand Data Governance concepts, including data quality, metadata management, and security policies.
11. Experience in performance tuning and optimization of data pipelines.
12. Familiarity with Azure Data Factory (ADF) is a plus.
13. Strong problem-solving skills and ability to work in an agile environment.

What is a plus?

• Experience with Data Cataloging tools (e.g., Azure Purview, Alation, or Collibra).
• Knowledge of CI / CD pipelines for data engineering.

About HCLTech :

We are HCLTech, one of the fastest-growing large tech companies in the world, with over 225,000 employees across 60 countries. We focus on Digital, Engineering, and Cloud, fostering a diverse, creative, and passionate workforce.

We strive to help our employees find their spark and become their best selves. If this environment appeals to you, join us in advancing technology through innovation and creativity.

Why Us?

• We offer end-to-end digital transformation expertise, working with leading brands.
• We invest in your growth through learning and career development opportunities.
• We promote freedom and flexibility in the workplace.
• We support a virtual-first work environment, emphasizing work-life balance and diversity, with representation from 165 nationalities.
• Opportunity to collaborate with colleagues globally.
• We are a certified great place to work and a top employer in 25 countries, including Romania.

If you have a valid disability certificate, please contact us. We value diversity and inclusion as key to innovation and encourage applications from all qualified individuals. HCL is an equal opportunity employer.