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Data Engineer - Remote -2729
Indeed
Full-time
Onsite
No experience limit
No degree limit
Isabel La Católica 5, Historic Center of Mexico City, Centro, Cuauhtémoc, 06000 Ciudad de México, CDMX, Mexico
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Description

Job Summary: We are seeking a Data Engineer passionate about building scalable pipelines, optimizing data models, and working with cloud technologies within a global team. Key Highlights: 1. Design, develop, and maintain ETL/ELT pipelines from multiple sources. 2. Build and optimize data models for analytics and reporting. 3. Collaborate with Data Science, Analytics, and business teams. **Data Engineer (Remote) | English C1 Required** Are you passionate about building scalable pipelines, optimizing data models, and working with cloud technologies? We are looking for a **Data Engineer** to join a global team in a **100% remote** capacity. ### **Key Responsibilities:** * Design, develop, and maintain **ETL/ELT** pipelines from multiple sources. * Build and optimize data models for analytics and reporting. * Implement and manage storage solutions (DBs, Data Lakes, Cloud Storage). * Ensure data **quality, integrity, and security**. * Collaborate with Data Science, Analytics, and business teams. * Monitor performance, optimize pipelines, and resolve incidents. * Stay up-to-date with best practices and emerging technologies. ### **Required Skills:** * **Minimum 5 years of experience as a Data Engineer.** * Proficiency in **SQL** and experience with relational databases (Oracle, MySQL, SQL Server). * Strong programming skills in **Python, PL/SQL, Java, or Scala**. * Experience with **Big Data** (Hadoop, Spark, Databricks). * Experience in **cloud** platforms (AWS, Azure, or GCP). * Practical experience with **OpenShift** or Kubernetes. * Knowledge of Data Warehousing (Snowflake, Redshift, BigQuery). * Workflow orchestration (Airflow, Luigi). * Solid understanding of **data governance, security & compliance**. ### **Plus / Nice to have:** * Streaming (Kafka, Kinesis). * DevOps applied to data pipelines. * Integration of pipelines with Machine Learning workflows. ### **We Offer:** * **Salary based on your years of experience.** * Fixed and bi-weekly payments. * Statutory and above-statutory benefits. * Indefinite-term project. * **Permanent REMOTE work.** If you meet the profile, apply with your updated CV only.

Source:  indeed View original post
Juan García
Indeed · HR

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