We are seeking a Lead Data Software Engineer to join our remote team.

The selected individual will play a crucial role in developing innovative analytical solutions utilizing Spark/PySpark, NoSQL, and other Big Data technologies. They will also be responsible for implementing new features in Cloud solutions (AWS, GCP, Azure). The candidate will work closely with product and engineering teams to understand requirements and impact decision-making. This role offers a thrilling opportunity to contribute to the growth and success of our organization.

Apply to leverage your expertise!

Responsibilities

• Execution of innovative analytical solutions using Spark/PySpark, NoSQL, and other Big Data-related 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 practicing in Data Management, Data Storage, Data Visualization, Operation, and Security
• Mastery in at least one programming language: Python, Java, Scala, or Kotlin
• Concrete experience with SQL and a strong familiarity with Big Data tools, mainly Spark/PySpark, and optionally Hadoop, Hive, and Flink
• Comprehensive 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
• Prior 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

• Experience with Event Streaming tools like Kafka, Pub/Sub, Kinesis, Events Hub
• Proficiency in Orchestrator tools such as Airflow and Databricks
• Knowledge of Snowflake is advantageous

We offer

• 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
• Health Coverage - Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family
• Visual Benefit - Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200.000 COP for any visual health expenses
• Life Insurance Plan - We have partnered with MetLife to offer a full-coverage Ife insurance plan. So, your family is covered, even if you are gone
• Medical Leave Coverage - We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us
• Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally
• Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization
• 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
• Community Benefit - You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!