Sobre

We are

• Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

• With the right people and the right ideas, there’s no limit to what we can achieve
• Are you a fit?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role

• Key Responsibilities

Data Migration & Pipeline Development

• Design, develop, and implement efficient and reliable data pipelines to migrate data from PySpark/Athena/BigQuery to DBT/Snowflake.
• Translate complex data requirements into actionable dbt models and transformations within Snowflake.
• Build and maintain Airflow DAGs for orchestrating data ingestion, transformation, and loading processes.
• Optimize existing data pipelines for performance, scalability, and cost efficiency in the new Snowflake environment.

Data Modeling & Transformation

• Develop and maintain robust data models in Snowflake using dbt, adhering to best practices for data warehousing and analytics.
• Write complex SQL queries for data extraction, transformation, and loading.
• Ensure data quality, accuracy, and consistency throughout the migration and ongoing data operations.

Troubleshooting & Optimization

• Identify, diagnose, and resolve data-related issues, performance bottlenecks, and data discrepancies.
• Proactively monitor data pipelines and systems to ensure smooth operation and data availability.
• Implement performance tuning strategies within Snowflake and dbt to optimize query execution and resource utilization.

Collaboration & Documentation

• Collaborate closely with Lead Data Engineers, Data Analysts, and other stakeholders to understand data needs and deliver effective solutions.
• Contribute to the development and maintenance of comprehensive technical documentation for data pipelines, models, and processes.
• Participate in code reviews and contribute to the team's adherence to coding standards and best practices
• Must-have Skills
• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines.
• Solid experience with data migration projects and working with large datasets.
• Strong hands-on experience with Snowflake, including data loading, querying, and performance optimization.
• Proficiency in dbt (data build tool) for data transformation and modeling.
• Proven experience with Apache Airflow for scheduling and orchestrating data workflows.
• Expert-level SQL skills, including complex joins, window functions, and performance tuning.
• Proficiency in Python for data manipulation, scripting, and automation for edge cases
• Familiarity with PySpark, AWS Athena, and Google BigQuery (source systems).
• Understanding of data warehousing concepts, dimensional modeling, and ELT principles.
• Knowledge of building CI/CD pipelines for code deployment
• Experience with version control systems (e.g., Github).
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and as part of a collaborative team in an agile environment.
• Must speak and write in English fluently; Effective communicator

Nice-to-have

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

What we offer

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards
• *Specific benefits are determined by the employment type and location.
• Find out more about our culture here.