Responsible for building data platforms that enable our clients and business partners to make efficient decisions with ease.
Design robust solutions on state-of-the-art data engines such as Databricks, and modern data warehousing solutions (Synapse, BigQuery, Redshift or Snowflake).

4 years of experience in Data Engineering area
Hands-on experience in Databricks
3 years of experience in Big Data
Proficient in SQL and Python
Background in data warehousing, data pipelines, distributed data processing, software engineering components and data modeling concepts
Analytical problem-solving skills, particularly those that apply to a big data environment
Experience in working with structured, semi-structured and unstructured data
Experience in at least one public cloud (Azure, AWS or GCP)
Strong Experience in design techniques of relational databases and non-relational storage
Strong Experience with concepts such as Data Marts, Data Warehouses, Data Lakes , Data Mesh
Very good English (verbal and written)
Experience in using Agile methodologies (Scrum, Kanban, etc.), DevOps and CI/CD principals.

Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Senior Data Engineer – Databricks

Key skills