The successful candidate will play a crucial role in implementing innovative analytical solutions using Spark/PySpark, NoSQL, and other Big Data-related technologies, while also applying new features in Cloud solutions (AWS, GCP, Azure). You will work closely with product and engineering teams to understand requirements and help drive decisions. This position offers an exciting opportunity to contribute to the growth and success of our organization.

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Responsibilities

Implement innovative analytical solutions using Spark/PySpark, NoSQL, and other Big Data-related technologies
Work with product and engineering teams to understand requirements and help drive decisions
Maintain collaboration with architects, technical leads, and key individuals within other functional groups
Perform analysis of business problems and technical environments and use this in the implementation of quality technical solutions
Participate in code review and test solutions to ensure they meet best practice specifications
Write project documentation

Requirements

3+ years of engineering experience and practice in Data Management, Data Storage, Data Visualization, Operation, and Security
Proficiency in at least one of the following programming languages: Python, Java, Scala, or Kotlin
Solid experience with SQL and strong familiarity with Big Data tools, primarily Spark/PySpark, and optionally Hadoop, Hive, and Flink
Strong understanding of Cloud Solutions for Data environments, such as AWS (Glue, RedShift), Azure (Databricks, Data Factory, Cosmos), and GCP (BigQuery, DataProc, DataFlow)
Good understanding of CI/CD and software development with Big Data technologies
Experience in software development with Big Data technologies, including administration, configuration management, monitoring, debugging, and performance tuning
Familiarity with data ingestion pipelines, Data Warehousing, and Data Lakes
Experience with data modeling and development of scalable, available, and fault-tolerant systems
Analytical approach to problems and excellent interpersonal and communication skills
Motivated, independent, efficient, and able to work under pressure with a solid sense for setting priorities
Familiarity with Containers and Resource Management systems like Docker, Kubernetes, and Yarn
Experience in direct customer communications

Nice to have

Experience with Event Streaming tools like Kafka, Pub/Sub, Kinesis, Events Hub
Familiarity with Orchestrator tools such as Airflow and Databricks
Knowledge of Snowflake

We offer

Improved medical coverage - EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation
Lunch Allowance - You will receive a daily allowance of CLP $ 7.000 per working day. Enjoy a nice meal on us
Allowance for internet and electricity - You will receive an allowance of CLP$15.000 per month to cover internet and electricity expense
National Holiday Bonus - We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September
Christmas Bonus - You will receive an End of Year bonus of CLP $170,539. It will be paid during the month of December, to ensure you have a Happy Holiday!
Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
Are you open to relocation? - If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home