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Data Solutions Engineer

2 meses atrás

Brasília, Distrito Federal, Brasil Swile Tempo inteiro

About Swile

Swile is a pioneering employee super-app that offers a unified, personalized, and modern experience to strengthen engagement at work.

Our mission is to revolutionize the labor market by combining the best of human and technological approaches.

Our Vision

We aim to redefine employee benefits and worktech, bringing daily joy to our users through exceptional products that sculpt the future of work.

Responsibilities

  1. Data Strategy and Solutions

Translate business needs into data-driven solutions and products aligned with our data platform strategy.

Stakeholder Collaboration

Negotiate with stakeholders to drive impact-driven data strategies that meet business objectives.

Data Knowledge and Decentralization

Mentor team members on data usage and techniques to enhance data knowledge and decentralization.

Data Engineering and Pipelines

Develop ETL/ELT routines and data pipelines to ensure data quality and efficiency.

Continuous Integration and Delivery

Implement CI/CD routines for data quality and reliability.

Data Modeling and Storage

Create, manage, and document data models using dbt (Data Build Tool) to ensure data quality and efficiency.

Business Intelligence and Reporting

Use Metabase to create visual dashboards and reports that provide actionable insights for business teams.

Data Storage and Security

Design and implement efficient data storage solutions to support analytics, including the use of Snowflake.

Collaboration and Communication

Collaborate with cross-functional teams to understand business needs and translate them into clear technical requirements.

Data Integrity and Performance

Monitor the integrity and performance of data systems and make necessary adjustments.

Data Security and Compliance

Ensure compliance with data security and privacy policies.

Required Qualifications

  1. Education

Bachelor's degree in Computer Science, Engineering, or a related field.

Language Proficiency

Intermediate/Advanced English proficiency.

Data Modeling and Engineering

Advanced experience in data modeling with dbt (Data Build Tool).

Analytics Experience

Proven experience as an Analytics Engineer or Data Engineer.

Analytics Workflow

Experience in the analytics workflow (understanding business requirements, data transformation, quality checks, building pipelines, analyses, and dashboards).

SQL and Database Knowledge

Advanced SQL knowledge with proven track record, and experience with relational and non-relational databases.

Data Integration Tools

Hands-on experience with data integration tools like Stitch.

Reporting and Dashboarding

Ability to create intuitive reports and dashboards using Metabase (Looker or Tableau experience will help).

Analytical and Communication Skills

Strong analytical skills with the ability to collect, organize, analyze, and disseminate meaningful information.

Collaboration and Communication

Excellent communication and collaboration skills to work effectively with multidisciplinary teams.

Preferred Qualifications

  1. Programming Languages

Knowledge of programming languages such as Python.

Data Orchestration

Experience with data orchestrators like Airflow.

AWS Data Stack

Knowledge of AWS data stack.

Infrastructure as Code

Infrastructure as Code (IaC) with Terraform.

Certifications

Relevant certifications in data engineering or data analysis.