Transformative Data Solutions Expert

Há 7 dias

São Paulo, São Paulo, Brasil beBeeData Tempo inteiro US$90.000 - US$110.000

Join Our Team as a Data Platform Engineer

Job Description:

We are seeking a highly skilled Data Platform Engineer to join our team. As a Data Platform Engineer, you will play a key role in designing and developing data warehouse and data solutions for our clients.

  • Design and develop data warehouse and data solutions that meet the needs of our clients.
  • Collaborate with specialists and client stakeholders to understand business objectives and translate them into effective data solutions.
  • Apply critical thinking and a structured methodology to drive data transformation initiatives with a blend of domain expertise, consulting skills, and software engineering.
  • Take ownership of assigned tasks, including effort estimation and time management, ensuring timely and high-quality delivery.
  • Develop and implement data solutions that meet both business and technical requirements with a strong attention to detail.
  • Work closely with cross-functional teams to gather, structure, and organize data for optimal use.
  • Foster a collaborative team environment, supporting and learning from peers to achieve shared goals.
  • Continuously seek opportunities to improve team workflows and development practices.
  • Provide third-level support for data solutions, addressing complex issues and ensuring system reliability.
  • Contribute to a culture of innovation and growth by transforming data into actionable insights.
Required Skills and Qualifications:

Cloud & Data Platforms:

  • Proficiency with AWS Glue (ETL, Data Catalog, Crawlers)
  • Hands-on experience with AWS Redshift, Lambda, and S3
  • Experience working with Databricks
  • Familiarity with Confluent Schema Registry
  • Experience using orchestration tools such as Airflow or Control-M

ETL & Data Pipelines:

  • Experience migrating ETL processes from Talend to AWS Glue
  • Strong development skills using PySpark or Scala for ETL
  • Knowledge of Kafka-based streaming and batch ingestion
  • Ability to design real-time and batch data pipelines

Data Governance & Quality:

  • Experience with data profiling and governance tools such as Ataccama and Voyager
  • Understanding of data lineage tracking and metadata management
  • Familiarity with PII detection and data masking techniques
  • Experience with schema validation and data contracts

Programming & Testing:

  • Proficiency in Python scripting
  • Experience using Pytest for unit testing
  • Ability to implement automated data profiling and anomaly detection

Data Modeling & AI Readiness:

  • Knowledge of Data Lake architecture using Parquet or Delta formats
  • Experience in feature engineering for AI/ML applications
  • Ability to curate datasets optimized for AI/ML readiness

Visualization & Reporting:

  • Experience integrating and optimizing Power BI dashboards
  • Ability to build real-time analytics dashboards
  • Knowledge of incremental refresh and row-level security in reporting tools
Benefits:

As a Data Platform Engineer at our company, you can expect:

  • State-of-the-art resources and Fortune 100 clients
  • A supportive and collaborative team environment
  • Ongoing training and development opportunities
  • A competitive salary and benefits package
Others:

Our company is committed to diversity and inclusion. We welcome people of all cultures, backgrounds, and experiences. We also offer flexible work arrangements and a comprehensive benefits package.

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