Analytics Engineer, Mid-Level
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Job Description
Analytics Engineer supporting data platform projects and developing robust data pipelines at Gran. Collaborating in solution design and ensuring data quality in an agile environment.
Responsibilities:
- Support planning and execution of data platform projects within an agile, collaborative culture.
- Participate in designing scalable solutions that follow the company’s architectural standards.
- Assist in defining non-functional requirements related to data.
- Develop and maintain robust data integration pipelines.
- Support the development of approaches that ensure scalable, high-quality, and resilient data flows.
- Participate in developing efficient approaches for using transactional and analytical data.
- Work on automation to improve efficiency and resilience.
- Contribute to maintaining accuracy, quality, and availability of corporate data.
- Create and maintain mapping and documentation of models and methodologies used.
- Assist in mitigating risks and addressing technical debt.
- Collaborate on defining and implementing data-related policies and processes.
- Participate in forums and rituals to define roadmaps and new products.
- Help promote continuous improvement across data environments.
- Participate in data refinement activities aimed at generating value for different levels of the company.
Requirements:
- Education: Bachelor’s degree in Information Technology or other data-related fields.
- Cloud and Storage: Experience with or willingness to develop skills in public cloud (preferably AWS or GCP). Storage solutions: S3 and Google Cloud Storage.
- Databases and Data Warehouse: Knowledge of relational and non-relational databases: PostgreSQL, MySQL, DynamoDB, Athena, DocumentDB. Data Warehouses: Redshift and BigQuery. Knowledge of maintenance routines, backup and recovery. Indexing, partitioning and query tuning. Database troubleshooting.
- Data Modeling and Architecture: Relational and dimensional modeling, Data Vault, normalization and denormalization. Basic knowledge of MDM (Master Data Management). Data architecture: Data Lake, Data Marts, structuring facts and dimensions. Data Lakehouse, structured and unstructured storage. Knowledge of Medallion architecture. Techniques for modeling and handling high-volume data. Familiarity with Data Governance concepts and practices.
- Data Engineering and Pipelines: Experience building data pipelines. Knowledge of observability, resilience, availability and scalability for applications. Openness to automation and cloud-native best practices.
- Languages and Tools: SQL (Basic/Intermediate with willingness to deepen). Python (Basic/Intermediate with interest in advancing). NodeJS (Basic/Intermediate with interest in advancing). Bash/Shell Script (basic).
Benefits:
- SulAmérica Health and Dental plan with national coverage, 100% company funded.
- Wellhub (Gympass) or gym reimbursement.
- Partnership with Sesc, providing access to cultural and leisure activities.
- Starbem, Avus and Auster apps: health, wellness and comprehensive support, including psychological, financial and legal assistance.
- Meal Allowance or Food Allowance paid on the iFood Benefits card.
- Home Office allowance paid on the iFood card.
- Profit-sharing (PLR) according to current rules.
- Extended maternity and paternity leave.
- GranPix — project recognition program with awards.
- Childcare allowance.
- Full scholarship for Undergraduate and Postgraduate studies at Gran Faculdade.
- Free unlimited Gran Concursos subscription.
- Gran Academy — Corporate University for GranLovers’ development.
- Policies that encourage study and continuous learning.
- Onboarding kit and equipment provided by Gran.
- Christmas allowance in December.
- Gran Baby kit — a gift to celebrate the birth of babies in the family.
- M.O.M — Momento Off Mamãe: one (1) additional day off per year, to be scheduled with direct leadership.
- Gran School Kit — assistance for school supplies.
- Inclusion Allowance — exclusive for people with disabilities (PwD).
- Petlove — pet health plan for the family’s pets.
- Day off on your birthday.
- Life insurance.
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