Lead Data Engineer

We are seeking a Lead Data Engineer to join our team.
This position combines engineering and analytical duties. You will develop and maintain data infrastructure while analyzing cost data, identifying trends, and collaborating with teams to optimize cloud expenses. Primarily focusing on AWS, this role demands a solid understanding of AWS services and cost structures. You will utilize tools such as Python, Databricks, Snowflake, Airflow, and Looker to provide impactful insights and solutions that enhance cost optimizations and support decision-making.
We accept CVs in English only.

#LI-DNI

Responsibilities

• Design, construct, and sustain scalable ETL pipelines to process and adjust large volumes of cloud cost and usage data
• Merge data from various sources, including AWS, into centralized data repositories like Snowflake
• Create and uphold data models to aid cost analysis and reporting requirements
• Enhance query output and storage effectiveness for vast datasets
• Automate repetitive data processing jobs and set up robust monitoring for data pipelines
• Guarantee data precision and dependability via validation techniques
• Examine cloud cost data to pinpoint trends, anomalies, and opportunities for optimization
• Engage intimately with teams to review expenditure changes and address cost anomalies
• Cooperate with stakeholders to comprehend cost determinants and offer actionable insights
• Assist teams in crafting dashboards and visualizations to monitor critical cost indicators
• Compile reports and presentations to convey findings and suggestions to leadership
• Collaborate with teams to formulate strategies for cost reduction and operational enhancement

• Bachelor's degree in Computer Science, Data Engineering, Data Analytics, or a related field
• 5+ years of experience in data engineering, data analysis, or a combined role
• 1+ years of relevant leadership experience
• Expertise in AWS services (e.g., EC2, S3, RDS, Lambda) and their cost frameworks
• Proficiency in SQL and skills in relational databases like Snowflake or Redshift
• Familiarity with Databricks and Spark for large-scale data processing
• Hands-on experience with ETL tools and frameworks (e.g., Databricks, Apache Airflow)
• Programming experience in Python for data analysis and pipeline creation
• Experience with BI tools like Looker or Tableau for constructing dashboards and visualizations
• Excellent problem-solving abilities and the capability to interpret and analyze vast datasets

• Background in Kubernetes, Docker, or containerization technology
• Understanding of cloud cost management tools and techniques
• Strong communication capabilities for presenting insights to stakeholders and leadership

• 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!