The successful candidate will play a crucial role in developing innovative analytical solutions utilizing Spark/PySpark, NoSQL, and other Big Data technologies. Additionally, they will implement new features in Cloud solutions (AWS, GCP, Azure). The candidate will work closely with product and engineering teams to understand requirements and influence decisions. This role offers an exciting opportunity to contribute to the growth and success of our company.

Apply to leverage your expertise!

Responsibilities

Execution of innovative analytical solutions using Spark/PySpark, NoSQL, and other Big Data technologies
Close collaboration with product and engineering teams to understand requirements and influence decisions
Persistent interaction with architects, technical leads, and key individuals within other functional groups
Analysis of business problems and technical environments and their application in the implementation of quality technical solutions
Participation in code review and testing solutions to ensure they meet best practice specifications
Documentation of project details

Requirements

Minimum of 5 years of engineering experience in Data Management, Data Storage, Data Visualization, Operation, and Security
Proficiency in at least one programming language: Python, Java, Scala, or Kotlin
Solid experience with SQL and a strong familiarity with Big Data tools, mainly Spark/PySpark, and optionally Hadoop, Hive, and Flink
Deep understanding of Cloud Solutions for Data environments, such as AWS (Glue, RedShift), Azure (Databricks, Data Factory, Cosmos), and GCP (BigQuery, DataProc, DataFlow)
Good grasp of CI/CD and software development using Big Data technologies
Previous exposure to 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
Prior experience with data modeling and development of scalable, available, and fault-tolerant systems
Analytical approach towards problems accompanied by excellent interpersonal and communication skills
Motivation, independence, efficiency, and the ability to work under pressure with a solid sense for setting priorities
Knowledge of Containers and Resource Management systems like Docker, Kubernetes, and Yarn
Experience in direct customer communications

Nice to have

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

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