119004 - Data Engineer at Lifted, an… · Mexico…

companyDescription jobDescription We are seeking a Data Engineer to support the development of data products that power critical business functions. This role focuses on building reliable, scalable data pipelines and improving data availability for a variety of stakeholders. You will work in a collaborative, cross-functional Agile environment and partner closely with technical and business teams to deliver high-quality data solutions. Enterprise experience strongly preferred. Key Responsibilities - Design, build, and maintain scalable data pipelines - Develop and optimize ETL processes to support data products - Work with structured and unstructured data across SQL and NoSQL systems - Collaborate with cross-functional stakeholders to understand data requirements - Ensure data quality, reliability, and availability across systems - Manage and orchestrate workflows using pipeline management tools - Contribute to Agile sprint planning and delivery commitments - Troubleshoot and resolve data pipeline and workflow issues qualifications Must-Have Skills - Strong Python programming experience - 5+ years of experience in Data Engineering or Data Warehousing - 5+ years building data pipelines using ETL tools - 3+ years hands-on experience with big data technologies such as Snowflake, Redshift, Hive, Kafka, Spark, or similar - Extensive experience with SQL and NoSQL databases - Experience with workflow management tools such as Airflow - Strong communication and stakeholder management skills - Experience working in Agile, cross-functional teams - Ability to manage competing priorities and deliver within sprint commitments Nice-to-Have Skills - Experience with dbt - Experience supporting data needs for finance, accounting, payments, or tax functions - Advanced degree in Math, Statistics, Computer Science, or related field additionalInformation Required Tools & Platforms - Python - SQL and NoSQL databases - ETL tools (dbt preferred) - Airflow or similar workflow orchestration tools - Big data platforms such as Snowflake, Redshift, Hive, Kafka, or Spark Location, Time & Engagement - Location: LATAM (remote) - Engagement: Contract - Allocation: Full-time (40 hours per week) - Duration: Through March 31, 2027