Junior Salesforce Developer

Mediktor; Bilbao; Presencial; EUR 45.000 - 80.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Senior Data Engineer, where you will design and optimize data pipelines using Databricks. Your expertise in Python and SQL will be crucial in implementing data transformation solutions and ensuring data governance. This role offers the opportunity to work with cutting-edge technologies in a dynamic environment that values innovation and collaboration. With a focus on professional growth and a commitment to diversity, this is an exciting chance to contribute to industry-leading projects while advancing your career in a supportive culture.

Formación

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

Responsabilidades

• Design and optimize data pipelines and ETL workflows using Databricks.
• Implement data transformation solutions in Databricks using Python and SQL.
• Collaborate with stakeholders to define data governance frameworks.

Conocimientos

Databricks

Python

SQL

Azure Data Lake Storage (ADLS)

Data Governance

Performance Tuning

Agile Methodologies

Data Cataloging Tools

Herramientas

Azure Data Factory (ADF)

Azure Purview

Collibra

Alation

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 in 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, specializing in Digital, Engineering, and Cloud services.

Why Us?

We offer end-to-end digital transformation expertise, working with top brands and providing opportunities to be part of industry-leading projects. We invest in your growth through learning and career development, offer flexibility and a virtual-first work environment, and foster a diverse, inclusive culture recognized as a great place to work in 25 countries, including Romania.