Senior Data Engineer (Databricks)

Solvd Inc.; Córdoba; Presencial; ARS 6.500.000 - 9.750.000; Jornada completa

Descripción de la vacante

A technology company is seeking a Senior Data Engineer to provide technical leadership in big data projects. Responsibilities include guiding clients through Databricks solution implementations and mentoring team members. Candidates should have hands-on experience with large-scale data pipelines, particularly in Databricks, and a degree in computer science or equivalent. The role emphasizes leadership and strong technical competencies.

Formación

• Experience leading design and development of Databricks solutions.
• Hands-on experience in building big data pipelines.
• Solid understanding of data governance and compliance.

Responsabilidades

• Provide technical leadership on big data projects.
• Lead clients through migrations and architect solutions.
• Mentor team members and support pre-sales efforts.

Conocimientos

Python

SQL

Spark

PySpark

Databricks

dbt

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Terraform

Microsoft Azure

AWS

Google Cloud Platform

Microsoft Power BI

Scala

Descripción del empleo

technologies-expected :

• Python
• SQL
• Spark
• PySpark
• Databricks

technologies-optional :

• Terraform
• Microsoft Azure
• AWS
• Google Cloud Platform
• Microsoft Power BI
• Scala

about-project :

We are seeking a highly skilled and consultative Senior Data Engineer with Databricks expertise to join our team.

responsibilities :

• As a Data Engineer, you will provide technical leadership and guide customers to successful implementations of big data projects, ranging from architecture and design to data engineering to model deployment. You will lead clients through migrations and architect solutions from concept to production. You will provide structured mentorship for other team members and technical support for pre‑sales efforts.

requirements-expected :

• Experience leading design and end‑to‑end development of distributed Databricks‑based solutions, including Lakehouse architectures, ETL pipelines, streaming and batch processing, and integration with client's cloud and on‑premises enterprise systems.
• Hands‑on experience in building big data pipelines.
• Hands‑on programming experience in Python.
• Expert knowledge of SQL, Spark (or PySpark), including data ingestion from a variety of sources such as APIs, relational databases, etc.
• Hands‑on experience using dbt within Databricks ecosystem.
• Solid understanding of data governance, security, and compliance.
• Hands‑on experience with platform optimization : cluster configuration, partitioning strategies, caching, autoscaling, and job orchestration.
• Ability to clearly articulate core Databricks concepts and explain their practical applications.
• Bachelor's degree in computer science, Information Systems, Engineering, or equivalent work experience.
• Databricks Certification (highly desirable)