Senior Data Engineer

We are seeking a Senior Data Engineer to join our team.
This role involves a blend of engineering and analytical responsibilities. You will develop and maintain data infrastructure while also analyzing cost data, identifying trends, and working closely with teams to optimize cloud spend. With a heavy focus on AWS, this position requires a strong understanding of AWS services and cost structures. You will leverage tools like Python, Databricks, Snowflake, Airflow, and Looker to deliver impactful insights and solutions that drive cost optimizations and decision-making.

#LI-DNI

Responsibilities

• Design, build, and maintain scalable ETL pipelines to process and transform large volumes of cloud cost and usage data
• Integrate data from multiple sources, including AWS, into centralized data lakes or warehouses like Snowflake
• Develop and maintain data models to support cost analysis and reporting needs
• Optimize query performance and storage efficiency for large-scale datasets
• Automate recurring data processing tasks and implement robust monitoring for data pipelines
• Ensure data accuracy and reliability through validation processes
• Analyze cloud cost data to identify trends, anomalies, and optimization opportunities
• Work closely with teams to investigate spending changes and resolve cost anomalies
• Collaborate with stakeholders to understand cost drivers and provide actionable insights
• Support teams in building dashboards and visualizations to track key cost metrics
• Create reports and presentations to communicate findings and recommendations to leadership
• Partner with teams to develop strategies for cost reduction and operational efficiency

• Bachelor's degree in Computer Science, Data Engineering, Data Analytics, or a related field
• 3+ years of experience in a data engineering, data analysis, or hybrid role
• Knowledge of AWS services (e.g., EC2, S3, RDS, Lambda) and their cost structures
• Proficiency in SQL and experience with 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 development
• Experience with BI tools like Looker or Tableau for creating dashboards and visualizations
• Excellent problem-solving skills and the ability to interpret and analyze large datasets

• Experience with Kubernetes, Docker, or containerization technologies
• Understanding of cloud cost management tools and strategies
• Strong communication skills 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