Senior Data Engineer

Encontrado en: beBee jobs AR - hace 2 semanas

LATAM, Argentina IT Scout A tiempo completo

Only available for #residents of #Latinamerica


Our client builds smart technology solutions through the combination of artificial intelligence, mobile, and web development for companies in the United States, Canada & Latam. It ́s a technology company headquartered in Costa Rica. With operations throughout LATAM. Their core focus is building intelligent tech solutions to help our customers be more efficient in optimizing internal digital processes.
About the job Senior Data Engineer

How will you make an impact?

Build and maintain multiple data pipelines to ingest new data sources (API and file-based) and support products used by both external users and internal teams.Optimize by building tools to evaluate and automatically monitor data quality, develop automated scheduling, testing, and distribution of feeds.Work with our data science and product management teams to design, rapid prototype, and productize new data product ideas and capabilities.Work with the data engineering team to design new data pipelines and optimize the existing data pipelines.Conquer complex problems by finding new ways to solve with simple, efficient approaches with a focus on reliability, scalability, quality, and cost of our platforms.Build processes supporting data transformation, data structures metadata, and workload management.Collaborate with the team to perform root cause analysis and audit internal and external data and processes to help answer specific business questions.
What will you bring to us?
5+ years of professional Dimensional Data Warehousing/Data Modeling and Big Data ExperienceStrong skills to write complex, highly-optimized SQL queries across large volumes of dataExperience working directly with data analytics to bridge business requirements with data engineering.Experience with AWS infrastructureProven experience working with Snowflake and Airflow in a production environmentStrong SQL skills with experience in query optimization and performance tuningProficiency in Python programming language for data processing and automation tasks.Experience with DBT (Data Build Tool) for data transformation and modelingExcellent troubleshooting and problem-solving skillsAbility to operate in an agile, entrepreneurial start-up environment, and prioritizeExcellent communication and teamwork, and a passion for learningCuriosity and passion for data, visualization, and solving problemsWillingness to question the validity, accuracy of data and assumptions
Preferred Qualifications:
Experience with Redshift, Snowflake, or other MPP databases is a plus.Knowledge for ETL/ELT tools like Informatica, IBM DataStage, or SaaS ETL tools is a plus.Experience with Tableau or other reporting tools is a plus.

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