Senior DataOps Engineer

Equação IT is a company focused on boosting technology and solid solutions through our expert consultants leading a high perspective and adding value to our customers with the purpose of providing optimization and business growth to our partners.

We are looking for a Senior DataOps Engineer with the following requirements:

- 5+ years in data engineering, with solid DevOps/platform engineering exposure; 
- Strong SQL and data modelling skills (dimensional, normalised, lakehouse);
- Proficient in Python; working knowledge of Scala, Java, or Go;
- Hands-on experience with data pipeline/orchestration tools (Airflow, DBT); 
- Experience with distributed processing frameworks (Spark, Flink, or similar); 
- Advanced AWS expertise (Glue, EMR, Redshift, Athena, S3, Lambda, Kinesis); 
- CI/CD tools (GitHub Actions, GitLab CI, Jenkins, CircleCI);
- Infrastructure as Code (CDK, CloudFormation);
- Experience with streaming/event-driven architecture (Kafka, Kinesis, Apache Flink, or Pub/Sub); 
- Observability tools: Grafana, CloudWatch;
- Expertise with data warehouse platforms (Redshift, Snowflake).