Lead Data Engineer – Remote Job.

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Company Description

We are a multinational team of individuals who believe that, with the right knowledge and approach, technology is the answer to the challenges businesses face today. Since 2016, we have brought this knowledge and approach to our clients, helping them translate technology into their success.

Company Description

We are a multinational team of individuals who believe that, with the right knowledge and approach, technology is the answer to the challenges businesses face today. Since 2016, we have brought this knowledge and approach to our clients, helping them translate technology into their success.

With Swiss roots and our own development team in Lima and across the region, we offer the best of both cultures : the talent and passion of Latin American professionals combined with the organizational skills and Swiss mindset.

Job Description

We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python , Azure Data Factory, Synapse, Databricks and Fabric, as well as a solid understanding of ETL and data warehousing end to end principles. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.

Key Responsibilities :

• Design and develop scalable data pipelines using PySpark to support analytics and reporting needs.
• Write efficient SQL and Python code to transform, cleanse, and optimize large datasets.
• Collaborate with machine learning engineers, product managers, and developers to understand data requirements and deliver solutions.
• Implement and maintain robust ETL processes to integrate structured and semi-structured data from various sources.
• Ensure data quality, integrity, and reliability across pipelines and systems.
• Participate in code reviews, troubleshooting, and performance tuning.
• Work independently and proactively to identify and resolve data-related issues.
• Contribute to Azure-based data solutions, including ADF, Synapse, ADLS, and other services.
• Support cloud migration initiatives and DevOps practices.
• Provide guidance on best practices and mentor junior team members when needed.

Qualifications

Nice to have :

Additional Information

Please note that we will not be moving forward with any applicants who do not meet the following mandatory requirements :

More Details :

Bertoni Process Steps :

Partner / Client Process Steps :

Why Join Us?

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

IT Services and IT Consulting

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Data Engineer - Work from Home - Talent Connection

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