Design and deliver advanced analytics solutions within Salesforce. Transform raw data into actionable insights, supporting key business operations and strategic goals.
About the role
- Senior Analytics Engineer leading data architecture projects and data governance practices in a Brazilian tech company with a global presence.
Responsibilities
- Lead end-to-end projects, designing the data architecture that connects the Data Lakehouse and BI tools.
- Define and implement data governance policies, ensuring access control (RBAC) and compliance (LGPD/GDPR).
- Establish metrics and processes to monitor data quality (such as completeness, consistency, accuracy).
- Collaborate with cross-functional teams to influence strategic decisions about how data is integrated and consumed.
- Implement DataOps practices, such as CI/CD and data versioning, for the analytical layer.
- Mentor and develop the team, fostering a learning environment and facilitating collaboration between engineers and data scientists.
Requirements
- Minimum of 5+ years of experience in data engineering.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- Strong problem-solving skills and the ability to learn quickly.
- Extensive experience in data engineering with a proven track record of successful projects.
- Experience leading teams and managing projects.
- Excellent communication skills and the ability to influence strategic decisions.
- Proficiency in multiple programming languages and data analysis tools (for example, Python, Java, Scala, SQL).
- Advanced database analysis and design skills.
- Experience with SQL and NoSQL databases (for example, PostgreSQL, MongoDB).
- Advanced knowledge of ETL tools and data processing frameworks (for example, DBT and Apache Spark).
- Deep knowledge of advanced data processing techniques and cloud infrastructure (for example, AWS, GCP, Azure).
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
Location requirements
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