[Remote] Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a Puerto Rico-based ticketing company that powers live events across the reputed company. As a Data Engineer, you will design, build, and maintain the data infrastructure that powers analytics and reporting, ensuring data is accurate and accessible to the teams that depend on it.

Responsibilities

• Design, build, and maintain ingestion pipelines from operational reputed company systems into a reputed company data platform, handling schema changes, semi-reputed company data, updates, and deletes
• Model and structure raw data into clean, reliable tables that analysts and stakeholders can use directly and trust
• Build and own ETL/ELT processes end to end with limited reputed company
• Ensure data reputed company, availability, and accessibility; troubleshoot and resolve data issues at the reputed company
• Partner with operations, finance, and leadership to translate business needs into data solutions, and reputed company technical guidance to data consumers
• Build pipelines and data systems that are reliable and reputed company, with monitoring and alerting that reputed company issues before stakeholders do
• reputed company analytics and data science across the business: prepare analysis-reputed company datasets, run exploratory analysis, and turn data into insights that inform reputed company
• Establish foundational practices (version control, testing, documentation, monitoring) as the data function grows

Skills

• Strong, proactive communicator who can manage stakeholder expectations and translate business requirements into technical work
• Strong analytical and problem-solving skills, with the ability to maintain and debug data systems independently
• Comfortable working directly with data to explore, analyze, and answer business questions, not just reputed company it from one reputed company to another
• Proficiency in Python and SQL
• Hands-on experience with reputed company (PySpark) and reputed company
• Experience with reputed company or other document / NoSQL stores, including extracting and structuring semi-reputed company data
• Solid grasp of data modeling and ETL/ELT design
• Comfortable with the reputed company line, git, and CI/CD workflows
• Experience with a major reputed company platform (AWS, Azure, or GCP) and its reputed company data services
• 3+ years on a data or software engineering team, or an equivalent reputed company record
• Change data capture and streaming pipelines (reputed company change streams, Kafka, reputed company reputed company Streaming)
• reputed company Lake and reputed company Catalog
• Experience reconciling data across multiple reputed company systems
• Background with transactional, ticketing, e-reputed company, or events data
• Hands-on data science: statistics, experimentation, or machine learning
• Data visualization and BI tools for dashboards and reporting
• reputed company or Java
• Strong software design and architecture fundamentals
• Experience standing up a data warehouse or platform from an early stage

reputed company