Data Engineer

We are looking for talents who:

• Understand the needs of each project, keeping in mind the value added to each client’s business.
• Have the ability to self-manage, prioritizing and balancing the execution of more than one project at a time.
• Communicate naturally in a pleasant and effective way with clients and the work team.
• Eager to learn and passionate about Data Engineering.

Responsabilities:

• Design and build data analytics solutions that provide the greatest possible benefit to our customers.
• Develop data ingestion and processing pipelines in modern data architectures based on the top cloud providers.
• Build data analysis and visualization solutions to deliver insights to our customers.

Requirements:

• +2 years of experience in Data Engineer/Data Analyst roles working on projects with technologies such as: Python, PySpark and SQL/T-SQL (or similar).
• +2 years of experience working on AWS, Azure, GCP or Databricks cloud solutions/environments.

Nice to have:

• AWS, Azure, GCP or Databricks Certifications.
• experience working with any of the following services/solutions will be a plus:
  • AWS: Redshift, QuickSight, Kinesis, Athena, S3, Sagemaker, DataZone, DynamoDB, Glue, DMS, Lake Formation, Lambda and Step Functions.
  • Azure: Microsoft Fabric, Power BI, Microsoft Analysis Services, Synapse Analytics, Data Explorer, Data Factory, Azure Streaming Analytics, ADLS Gen2, Azure Synapse SQL Dedicated Pools and Azure Functions.
  • GCP: Looker, BigQuery, Dataflow, BigTable, Spanner, Dataproc, Dataprep, Data Fusion and Composer.
  • Databricks: Lakeflow Jobs (workflows), Delta Live Tables, Databricks SQL, Data Science & ML, Unity Catalog and Delta Lake.
• Graduated with a degree in Computer Engineering or a Bachelor’s Degree in Systems.
• English level B2.