Senior Data Engineer (Argentina)

Senior Data Engineer (Argentina)

17 oct
|
Parser
|
Argentina

17 oct

Parser

Argentina

Who is Parser?

Technology alone does not create impact-the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and Al enablement.
We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.
We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, Al & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.

Why Join Us?

If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions,



and continuously learn alongside top-tier specialists in a truly general environment, we'd love to meet you.

How will you impact?

We are seeking an experienced Sr Databricks Engineer to join our growing data engineering team. This role will be instrumental in designing, developing, and maintaining our enterprise-level data platform using Databricks to support critical banking operations and analytics initiatives.

Your key responsibilities:
Your responsibilities include, but not limited to:
• Design, develop, and optimize data pipelines using Databricks and Apache Spark.
• Build scalable ETL/ELT processes to ingest, transform, and deliver data from various banking systems.
• Implement data lakehouse architecture using Delta Lake for reliable data storage and processing.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Optimize Databricks cluster configurations and query

📌 Senior Data Engineer (Argentina)
🏢 Parser
📍 Argentina

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