Senior AEM Developer

Puratos; Jerez de la Frontera; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in the tech industry seeks a Senior Data Engineer to design and optimize data pipelines using Databricks. The role requires expertise in Azure Data Lake and strong programming skills in Python and SQL. Join a diverse team committed to innovation and excellence, with opportunities for career development and a flexible work environment.

Servicios

Learning and career development opportunities

Flexible work environment

Collaboration with global colleagues

Formación

• 5+ years of experience in Databricks and big data processing.
• Hands-on experience in Azure Data Lake for managing structured and unstructured data.
• Strong programming skills in Python and SQL.

Responsabilidades

• Design, develop, and optimize data pipelines and ETL workflows using Databricks.
• Implement data transformation and processing solutions in Databricks using Python and SQL.
• Ensure data security, governance, and compliance by following industry best practices.

Conocimientos

Data Governance

Problem Solving

Agile Methodology

Python

SQL

Herramientas

Databricks

Azure Data Lake Storage

Azure Data Factory

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. Have 5+ years of experience in Databricks and big data processing.
8. Possess hands-on experience in Azure Data Lake (ADLS) for managing structured and unstructured data.
9. Have 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 and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering, and Cloud. Our diverse, creative, and passionate people raise the bar for excellence regularly.

Why Us?

• We offer end-to-end digital transformation expertise helping clients from strategy through execution, working with the biggest brands.
• We invest in your growth, providing learning and career development opportunities at every level.
• We promote freedom and flexibility on the job, empowering decision-making.
• Our virtual-first work environment supports work-life balance and flexibility, with representation from 165 nationalities.
• Opportunity to collaborate with colleagues worldwide.
• Certified great place to work and top employer in 25 countries, including Romania, valuing recognition and respect.

If you have a valid disability certificate, please contact us.

We emphasize diversity and inclusion as core principles, aiming to attract, develop, and retain diverse profiles as key drivers of innovation. We are committed to inclusion and a sense of belonging for all employees.

HCL is an equal opportunity employer. All qualified applicants will receive consideration regardless of age, ancestry, color, gender identity, expression, genetic information, marital status, medical condition, national origin, disability, political affiliation, veteran status, race, religion, sex, sexual orientation, or other protected characteristics.