Data Engineer

Description

Job Summary: Megamedia is seeking a passionate Data Engineer to design and implement scalable data engineering solutions that drive analytics and digital product development for the MegaID project. Key Responsibilities: 1. Design and implement data ingestion, transformation, and publishing processes 2. Build and maintain the MegaID project's master event registry 3. Develop and optimize ETL/ELT pipelines using SQL and Python * Full-time position * Other Professional * Metropolitan Region of Santiago * Ñuñoa **At Megamedia, we are building the future of our data!** Are you passionate about data engineering and eager to contribute to a strategic project impacting millions of users? Are you motivated to design scalable solutions that advance analytics, business intelligence, and digital product development? **This is your opportunity to join us as our new Data Engineer for the MegaID project!** **What will you do daily?** * Design and implement data ingestion, transformation, and publishing processes from diverse internal and external sources. * Build and maintain the **MegaID** project's master event registry, ensuring a robust and scalable data infrastructure. * Develop and optimize **ETL/ELT** pipelines using SQL and Python in cloud environments and modern data platforms. * Model base, intermediate, and analytical consumption tables to enable identity, segmentation, measurement, and audience activation capabilities. * Implement data quality controls, monitoring, and observability to ensure data consistency, traceability, and availability. * Prepare datasets for advanced analytics, data science, and business modeling processes. * Document processes, definitions, workflows, and technical standards associated with the project. * Collaborate with Technology, Product, Analytics, and Business teams to integrate new data sources and enable new use cases. * Contribute to defining best practices and data engineering standards within the MegaID ecosystem. **What are we looking for?** **A university-qualified professional** in Computer Science Engineering, Computing Engineering, Data Engineering, Industrial Civil Engineering, or a related field. **At least 5 years of experience** as a Data Engineer, Senior Data Engineer, Analytics Engineer, ETL Developer, Data Integration Engineer, or similar role. Solid knowledge of: * Advanced SQL. * Python for data processing and automation. * Design and implementation of **ETL/ELT** pipelines. * Analytical data modeling. * Git and version control. * Best practices for data quality, validation, and traceability. **Ideally, you have experience with:** * Snowflake. * Airflow, Dagster, or equivalent orchestration tools. * AWS or other cloud environments. * GitHub, GitLab, or Bitbucket. * Data integration tools such as Airbyte, Fivetran, Stitch, or similar. * API-based integration (REST) and handling of JSON, Parquet, and CSV formats. * Digital platforms, navigation events, OTT, or martech/adtech ecosystems. * Data observability and quality tools such as Great Expectations, Monte Carlo, DataDog, or CloudWatch. * Concepts of privacy, consent, and data governance. **We seek individuals who stand out for:** * Analytical thinking and systemic vision. * Ability to design scalable technical solutions. * Rigor and quality orientation. * Autonomy and organizational skills. * Proactivity and sound technical judgment. * Documentation and methodological work skills. * Ability to collaborate with multidisciplinary teams. * Results orientation and continuous improvement. **Work Mode:** On-site **Location:** Santiago, Chile **Availability:** Full-time **What do we offer?** Join a leading company in media, technology, and audiovisual production. A half-day off on your birthday. Continuous training through **Megamedia Academy**. Meal service. Supplementary Health Insurance and/or Well-being Plan. Bonuses, year-end bonuses, and study scholarships. Corporate gym. Partnerships with financial institutions, healthcare providers, and recreational centers. Free access to **Mega Go**. And much more! **Apply now and become part of the Megamedia team!** **Desired Profile** ------------------ **What are we looking for?** * **A university-qualified professional** in Computer Science Engineering, Computing Engineering, Data Engineering, Industrial Civil Engineering, or a related field. **At least 5 years of experience** as a Data Engineer, Senior Data Engineer, Analytics Engineer, ETL Developer, Data Integration Engineer, or similar role. Solid knowledge of: + Advanced SQL. + Python for data processing and automation. + Design and implementation of **ETL/ELT** pipelines. + Analytical data modeling. + Git and version control. + Best practices for data quality, validation, and traceability. Inclusive employment * Experience: 5+ years * Minimum education: University degree * Graduated