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.

#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

• 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