Senior Data Engineering Lead at Capgemini

Job Description:

Latest job information from Capgemini for the position of Senior Data Engineering Lead. If the Senior Data Engineering Lead vacancy in México matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Capgemini for the position of Senior Data Engineering Lead below matches your qualifications.

RH: Daniela Márquez

Location: any state of Mexico

Industry - Sector: MALS

General description

We are seeking a highly experienced Senior Data Engineering Lead with minimum 5+ years’ experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform. The successful candidate will possess a strong technical background and proven leadership skills to manage stakeholders, design, and lead development efforts.

Responsabilities

'The candidate must have experience and expert skills in the following areas:

• Programming Skills: Stellar hands-on expertise in Python, PySpark, and SQL.

• Azure Expertise: Proficient in Microsoft Azure Cloud Services.

• Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 5 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud.

• Data Modeling Expertise: Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling.

• Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory.

• Cloud Data Engineering concepts: Experience with common ETL/ELT tools (ADF, Informatica, Talend) and implementing Medallion Architecture for data management.

• Data Management and Storage: Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, etc.

• Analytical Skills: Strong analytical and problem-solving skills.

• Leadership: Lead development teams, drive project timelines, and ensure high-quality deliverables.

En Capgemini México el objetivo es atraer al mejor talento y lograr un ambiente de trabajo diverso e inclusivo por lo que no se discrimina por motivo de raza, sexo, orientación sexual, identidad o expresión de género o cualquier otra característica propia de la persona. Todas las solicitudes son bienvenidas y serán consideradas para concurso con base en el mérito de la persona contra el trabajo y/o la experiencia para el puesto.

• At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

Job Info:

• Company: Capgemini
• Position: Senior Data Engineering Lead
• Work Location: México
• Country: MX

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Senior Data Engineering Lead at the office México above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.