Analytics Engineer — Snowflake & dbt Data Pipelines

Lyra Health

Johannesburg

On-site

ZAR 600,000 - 900,000

Full time

14 days+

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Job summary

Lyra Health is a leading provider of mental health solutions for employers. The international data team is transforming its data architecture, moving from a legacy SQL server to Snowflake, dbt, Airflow, Tableau, and Sigma. The role offers a chance to mentor and share best practices with Snowflake/dbt, while building data infrastructure from scratch.

You will collaborate with teams in different time zones and contribute to scalable data solutions for reporting and analytics.

Qualifications

  • 3+ years experience in data engineering.
  • Experience in development of pipelines to ingest and transform data from sources using REST APIs, AWS S3 and Airflow.
  • Experience in building dbt models to transform data using Medallion architecture.
  • Experience in maintaining dimensional data models with Type 2 SCDs and star schemas.
  • Experience in maintaining data warehouses on SQL Server.
  • Experience working with Snowflake, dbt and Tableau is essential.

Responsibilities

  • Build and maintain pipelines to ingest data from Salesforce and various other data sources.
  • Build and maintain dbt models to transform data using Medallion architecture for use by business intelligence tools.
  • Work closely with our Business Intelligence team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders.
  • Work collaboratively with team members in different timezones.

Skills

REST APIs
Airflow
dbt
Medallion architecture
Star schemas
Type 2 SCDs
SQL Server
Snowflake
Tableau
Data warehouse development

Tools

Tableau
Snowflake
dbt

Job description

Lyra Health is a leading provider of mental health solutions for employers. The international data team is transforming its data architecture, moving from a legacy SQL server to Snowflake, dbt, Airflow, Tableau, and Sigma. The role offers a chance to mentor and share best practices with Snowflake/dbt, while building data infrastructure from scratch.

You will collaborate with teams in different time zones and contribute to scalable data solutions for reporting and analytics.

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