Senior Data Engineer

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🕒 June 2

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Mycon

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Mycon is a digital consortium administrator that enables clients to purchase assets such as real estate, vehicles, and services through a structured group purchasing method. By offering consórcio plans without interest or down payments, Mycon provides a more economical alternative to traditional financing. Clients can simulate their options and manage their consórcio entirely through the Mycon app, benefiting from low administrative fees and a transparent process governed by the Brazilian Central Bank.

📋 Description

• Design, implement, evolve and maintain data platform pipelines on AWS, working with ETL/ELT pipelines and dimensional modeling • Develop and maintain data ingestion, transformation, and delivery pipelines in GCP environments • Define and apply data modeling standards (relational and dimensional), including star schema modeling for analytical consumption • Structure data following modern architectures such as Data Lake and Medallion (Bronze, Silver, Gold) • Partner with business stakeholders to translate requirements into clear, consistent data models • Ensure data quality, governance, security, and compliance across the entire data lifecycle • Monitor and optimize cloud performance and costs (FinOps) • Serve as a technical reference, leading engineering best practices, code reviews, and evolution of the data architecture • Lead the creation, experimentation, and evolution of AI-based solutions, including developing agents, intelligent automations, and integrating language models (LLMs) into pipelines and data products • Identify opportunities to improve development efficiency through AI, proposing and implementing improvements in engineering processes, code quality, testing, and observability • Design and implement integrations between data services and generative AI solutions, ensuring scalability, governance, and responsible use of data

🎯 Requirements

• Proficiency in Python and SQL • Experience with relational databases • Experience with ETL/ELT tools • Strong knowledge of AWS cloud services (Lambda, Redshift, Glue, Step Functions, Athena, S3, DMS, EventBridge, SQS, SNS, IAM, Secrets Manager, API Gateway, DynamoDB, Crawlers) • Experience with modern data architectures (Data Lake, Lakehouse, Medallion) • Knowledge of DataOps practices and data observability • Experience with code versioning (GitHub) and CI/CD pipelines • Strong knowledge of FinOps practices • AWS certifications (a plus) • Experience with CDP tools (a plus) • Knowledge of GA4 and BigQuery (a plus) • Experience with Snowflake or Databricks (a plus) • Experience integrating AI models (LLMs), building agents, or using generative AI APIs (a plus) • Knowledge of AWS tools for data governance (a plus)

🏖️ Benefits

• Flexible meal/food allowance - Swille card • Health insurance • Dental insurance • Life insurance • Home office allowance • Transportation allowance • Birthday day off • TotalPass • Vittude • Benefit on Consortium Professional Day • 0% fee on our products (employees only) • Performance bonus (PPR) — based on targets set in the annual program • Partnership with educational institution offering discounts for postgraduate courses • Access to Udemy Business after 6 months, 100% paid by the company • Partnership with Sesc