Junior Data Engineer

Job summary:

We are adding a Junior Data Engineer to our operations team. The operations team moves data from about 30 source systems into Snowflake. You'll own ingestion, modelling and data quality checks. We hire in Brazil through an employer of record, so this is a regular full-time job with local payroll and statutory benefits. Core hours overlap with US Central time, 9:00 AM to 1:00 PM CT. Good written English matters here, since most updates are written.

What you'll be doing:

• Maintain CI for data code and review pull requests
• Tune slow queries and expensive jobs
• Handle PII according to retention, masking and access policies
• Write data quality tests with dbt or Great Expectations and alert on failures
• Document datasets and lineage in a catalogue such as DataHub or Atlan
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python
• Model data in dbt using staging, intermediate and mart layers
• Work with analysts to define metrics and fix discrepancies between reports

You'll need:

• 0-2 years of data engineering, or backend work with data at volume
• Strong Python for data processing
• Understanding of dimensional modelling and slowly changing dimensions
• Working knowledge of AWS, GCP or Azure data services
• Hands-on with an orchestration tool such as Airflow

Pluses:

• Kafka, Flink or Spark Structured Streaming

What we offer:

Compensation: R$18,000 - R$21,000 monthly

• Flexible hours
• Paid parental leave
• Annual salary review
• Monthly internet allowance

Company overview:

Clients range from single-location retailers to franchise groups with hundreds of stores, all running our point-of-sale and loyalty software. Built in Scottsdale, our document management tool is used by county clerks, title companies and small law offices.

Please submit your CV in English.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Scottsdale Software.