Senior Data Engineer responsible for data pipeline projects at Suprema Gaming. Focus on batch and streaming data solutions while collaborating with business teams.
Responsibilities
Design and implement batch and streaming data pipelines, ensuring reliability and performance;
Architect and evolve multi-cloud data lakes, ensuring governance, security and scalability;
Develop solutions in Databricks for distributed processing, machine learning and integration with multiple data sources;
Work end-to-end: ingestion, cleansing, storage, modeling and provisioning for visualization (BI/Analytics);
Follow architectural standards and best practices for data engineering in hybrid and distributed environments;
Collaborate with business, data science and product teams to turn data into strategic insights;
Implement automations using tools such as n8n and explore integrations with AI solutions to optimize processes;
Ensure data quality, observability and reliability through monitoring, testing and pipeline versioning;
Respond to critical data incidents, leading root cause analyses and proposing sustainable solutions.
Requirements
Bachelor's degree in Computer Engineering, Computer Science, Information Systems or related fields;
Minimum of 10 years of experience in data engineering, with proven experience in complex projects;
Strong experience in batch and streaming pipelines (Spark, Kafka, Flink, etc.);
Experience with multi-cloud data lakes (AWS, GCP and/or Azure);
Experience with Databricks (PySpark, Delta Lake, MLlib, etc.) and Snowflake;
Hands-on experience from ingestion to visualization (integration with BI tools such as Power BI, Tableau, Looker, Data Studio, Qlik, Einstein Insights);
Advanced knowledge of SQL and Python;
Experience with process automation (n8n, Airflow, Dagster or similar);
Familiarity with data security and governance practices (LGPD/GDPR, access control, auditing);
Advanced English for reading, writing and technical interaction.
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