Senior AEM Developer

Puratos; Torrejón de Ardoz; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative tech company is seeking a Senior Data Engineer to enhance data processes and governance. In this role, you'll design and optimize data pipelines using Databricks, ensuring data security and compliance while collaborating with stakeholders to improve data quality. With a focus on Azure technologies, including Data Lake and Data Factory, you'll be at the forefront of data engineering in a dynamic and agile environment. Join a diverse team that values growth, flexibility, and collaboration in a virtual-first workspace, where your contributions will drive impactful projects.

Servicios

Learning and career development opportunities

Flexible work environment

Global collaboration opportunities

Diversity and inclusion initiatives

Formación

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

Responsabilidades

• Design and optimize data pipelines and ETL workflows using Databricks.
• Implement data transformation solutions in Databricks with Python and SQL.

Conocimientos

Databricks

Python

SQL

Azure Data Lake Storage (ADLS)

Data Governance

ETL Workflows

Data Quality

Performance Tuning

Agile Environment

Data Cataloging Tools

Herramientas

Azure Data Factory (ADF)

Azure Purview

Alation

Collibra

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. Minimum of 5 years of experience in Databricks and big data processing.
8. Hands-on experience with Azure Data Lake (ADLS) for managing structured and unstructured data.
9. Strong programming skills in Python and SQL.
10. Understanding of 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?

1. Experience with Data Cataloging tools (e.g., Azure Purview, Alation, or Collibra).
2. 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, focusing on Digital, Engineering, and Cloud. Our diverse, creative, and passionate team drives industry-leading capabilities.

Why Us?

• We offer end-to-end digital transformation expertise, working with top brands and industry leaders.
• We invest in your growth through learning and career development opportunities.
• We promote flexibility and decision-making autonomy in your work.
• Our virtual-first environment supports work-life balance and diversity, with representation from 165 nationalities.
• You will have opportunities to collaborate 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 emphasize diversity and inclusion, aiming to attract, develop, and retain diverse profiles as a source of innovation. We are committed to equal opportunity employment regardless of age, race, gender, disability, or other protected characteristics.