Senior Data Engineer

1 week ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. 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. 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 Requirements 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 Nice to have 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 We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000 courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Engineering, and Business Development Industries Software Development, IT Services and IT Consulting, and Media and Telecommunications Referrals increase your chances of interviewing at EPAM Systems by 2x Sign in to set job alerts for “Senior Data Engineer” roles. [DATA PRODUCTS MISC] Senior Business Analyst SENIOR DATA CENTER NETWORK ENGINEER (30101) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. J-18808-Ljbffr

Location: Brazil, BR

Posted Date: 7/7/2025