Analytics Engineer

10 hours, 55 minutes ago
Full-time
Mid Level
Data Science and Analytics
Swile

Swile

Swile offers a unique card and app designed to enhance employee engagement by providing powerful solutions for meal vouchers, gift vouchers, mobility, and cultural checks, all while facilitating team collaboration and communication.

Professional Services
251-1K
Founded 2016
$326M raised

Description

  • Translate business needs into data solutions and products aligned with the data platform strategy.
  • Negotiate an impact-driven data strategy with stakeholders.
  • Mentor Swilers on data usage, techniques, and data decentralization.
  • Develop ETL/ELT routines and data pipelines.
  • Implement CI/CD routines for data quality.
  • Create, manage, and document data models using dbt to ensure data quality and efficiency.
  • Build visual dashboards and reports in Metabase to provide actionable business insights.
  • Design and implement data storage solutions for analytics, including Snowflake.
  • Collaborate with cross-functional teams to translate business needs into clear technical requirements.
  • Monitor the integrity and performance of data systems and make necessary adjustments.
  • Ensure compliance with data security and privacy policies.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Intermediate to advanced English proficiency.
  • Advanced experience in data modeling with dbt.
  • Proven experience as an Analytics Engineer or Data Engineer.
  • Experience across the analytics workflow, including business requirements, data transformation, quality checks, pipeline building, analyses, and dashboards.
  • Advanced SQL knowledge with experience in relational and non-relational databases.
  • Hands-on experience with data integration tools such as Stitch.
  • Experience using AI tools to improve delivery efficiency.
  • Ability to create intuitive reports and dashboards using Metabase; experience with Looker or Tableau is a plus.
  • Strong analytical skills and excellent communication and collaboration skills.
  • Knowledge of Python is preferred.
  • Experience with data orchestrators such as Airflow is preferred.
  • Knowledge of the AWS data stack is preferred.
  • Infrastructure as Code experience with Terraform is preferred.
  • Relevant certifications in data engineering or data analysis are preferred.

Interested in this position?

Apply directly on the company website

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