Analytics Engineer: Snowflake, dbt & Data Platform

Lyra Health, Inc.

Johannesburg

On-site

ZAR 600,000 - 900,000

Full time

14 days+

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Job summary

Lyra Health, Inc. is seeking a data engineer in Johannesburg to join our international data team. You will help transform our data architecture as we migrate to Snowflake, dbt, Airflow and Tableau.

You will build and maintain pipelines ingesting data from Salesforce and other sources, develop dbt models using Medallion architecture, and collaborate with BI to meet stakeholder reporting needs across time zones.

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

Data engineering
Data pipelines development
REST APIs integration
dbt modeling
Medallion architecture
Dimensional modeling
Star schemas

Tools

Snowflake
dbt
Tableau

Job description

Lyra Health, Inc. is seeking a data engineer in Johannesburg to join our international data team. You will help transform our data architecture as we migrate to Snowflake, dbt, Airflow and Tableau.

You will build and maintain pipelines ingesting data from Salesforce and other sources, develop dbt models using Medallion architecture, and collaborate with BI to meet stakeholder reporting needs across time zones.

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