Senior Data Engineer

hace 3 días


Monterrey, México Intugo A tiempo completo

Senior Data Engineer Intugo • Monterrey, Nuevo León, México Descripción del trabajo Our Data Engineering team plays a key role in a technology company that is experiencing exponential growth. The data pipeline processes over 80 billion impressions a day ( >20 TB of data, 220 TB uncompressed). This data is used to generate reports, update budgets, and drive optimization engines while running against extremely tight SLAs and providing real‑time statistics and reports. Job Duties Design, build, and maintain reliable and scalable enterprise‑level distributed transactional data processing systems to support existing and new business initiatives. Optimize jobs to utilize Kafka, Hadoop, Presto, Spark Streaming, and Kubernetes resources in the most efficient way. Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc.). Increase accessibility and effectiveness of data by working with analysts, data scientists, and developers to build/deploy tools and datasets that fit their use cases. Collaborate within a small team with diverse technology backgrounds. Provide mentorship and guidance to junior team members. Technologies We Use Airflow – job scheduling Docker – packaged container image with all dependencies Graphite/Beacon – monitoring data flows Hive – SQL data warehouse layer for data in HDFS Impala – faster SQL layer on top of Hive Kafka – distributed commit log storage Kubernetes – distributed cluster resource manager Presto – fast parallel data warehouse and data federation layer Spark Streaming – near‑time aggregation SQL Server – reliable OLTP RDBMS Sqoop – import/export data to RDBMS Requirements BA/BS degree in Computer Science or related field 5+ years of software engineering experience Fluency in Python; experience in Scala/Java is a huge plus (polyglot programmer preferred) Proficiency in Linux Strong understanding of RDBMS, SQL Passion for engineering and computer science around data Knowledge and exposure to distributed production systems (e.g., Hadoop) is a huge plus Knowledge and exposure to cloud migration is a plus Willingness to participate in a 24×7 on‑call rotation Detalles del puesto Tipo de puesto: Tiempo completo, por tiempo indeterminadoSalario: $70,****** – $80,****** al mesHorario: Lunes a viernes, turno de 8 horasIdioma: Inglés (obligatorio) #J-18808-Ljbffr


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