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

• Career plan and real growth opportunities
• Unlimited access to LinkedIn learning solutions
• International Mobility Plan within 25 countries
• Constant training, mentoring, online corporate courses, eLearning and more
• English classes with a certified teacher
• Support for employee's initiatives (Algorithms club, toastmasters, agile club and more)
• Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
• Flexible work schedule and dress code
• Collaborate in a multicultural environment and share best practices from around the globe
• Hired directly by EPAM & 100% under payroll
• Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
• Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
• 13 % employee savings fund, capped to the law limit
• Grocery coupons
• 30 days December bonus
• Employee Stock Purchase Plan
• 12 vacations days plus 4 floating days
• Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
• Monthly non-taxable amount for the electricity and internet bills