Descripción del puesto

Main responsibilities and duties

• Streamline the intake of raw data into data lakes.
• Perform production support and deployment activities for data platforms.
• Proactively drive the execution of core data engineering, business intelligence, and data warehouse frameworks.
• Build scalable and reliable data pipelines from systems including CRM and Ecommerce.
• Analyze and translate business needs into data models to support long-term, scalable, and reliable solutions.
• Create logical and physical data models using best practices to ensure high data quality and reduced redundancy.
• Drive data quality initiatives across the organization.
• Develop and enforce best practices for standard naming conventions and coding practices.
• Continuously improve our data infrastructure and stay ahead of technology advancements.
• Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, and Software Engineers to understand data needs and deliver on those needs.

Requisitos

Qualifications and skills

• Excellent written and verbal communication skills in English.
• Proficiency in Spark, Python, and SQL programming, Postgres, MySql, Redis. Scala is a nice to have.
• Experience with querying/managing tables containing 100M+ records.
• Experience with various data formats like Parquet, HUDI, etc.
• Experience with delta data lake or similar technology.
• Strong problem-solving skills and ability to analyze and translate business requirements into technical solutions.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Ability to drive data quality initiatives and establish best practices.
• Self-motivated with a passion for continuous learning and staying ahead of industry trends.

Beneficios

Remote work model and flexible hours
Potential to grow and build your own career path
Strong teamwork culture and a friendly environment
Wellness perks