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Data Engineer
hace 1 mes
Job Description We are seeking a data engineer with expertise in Spark and Kafka architecture patterns, along with a good understanding of datalake, datawarehouse, and delta lake concepts.
Familiarity with current trends in data engineering is a plus.
Responsibilities include: Reading, refactoring, and testing Spark code following best practices.
Implementing Kafka architecture patterns at scale.
Working with technologies such as Scala, Spark, Java, Kafka (KStreams and KSql), Spark Streaming, Terraform, and AWS services.
Collaborating through pair programming in a remote environment.
Required skills and experience: Experience with Scala and Spark, or Java with an interest in Scala.
Comfortable working with real-time technologies like Kafka and Spark Streaming.
Willingness to learn new technologies involved in projects.
Our tech stack includes: Scala, Spark, Node.js (ES6 and Typescript), Python, React, MongoDB, MySQL, RabbitMQ, Redis, AWS (SNS, SQS, API Gateway, Cognito, Lambda, Redshift, Aurora, DynamoDB).
Mastery of all is not required; understanding core principles is more important.
We value continuous learning and encourage practicing and improving your skills regularly.
Essential skills for remote work: self-management, effective communication, respect, and inclusiveness.
What We Offer Monthly co-working subsidy Learning days during working hours Training budget including SafariBooks and Coursera access Remote work with flexible schedule Bank holidays (local and national) Free day on your birthday Rewards for quarterly targets Quarterly engineering meetups and team-building events in Córdoba Annual global all-hands meeting with team activities Two duvet days per year Allowance for therapy sessions Laptop options (Mac or PC) #J-18808-Ljbffr