Big Data Engineer

Summary

Join a leading accounting and consulting firm in the southeastern U.S. as a Data Engineer to build and manage big data workflows using next-generation platforms. You will design and implement ETL frameworks for efficient data processing, ensuring data accuracy and freshness. Collaborate with cross-functional teams to meet the firm's and clients' needs for scale and speed. This role requires expertise in data engineering, programming languages (Java and Python), SQL database design, and big data technologies (Spark). The position offers remote work in LATAM and a 40-hour work week.

Requirements

• 5+ years of experience in data engineering
• Bachelor’s degree in Computer Science, Engineering or related STEM field
• Technical expertise with data models, data mining, and segmentation techniques
• Knowledge of programming languages (e.g. Java and Python)
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Data engineering certification (e.g IBM Certified Data Engineer)
• Experience in Orchestration, Spark and/or Big Data Analytics technologies

Responsibilities

• Analyze and organize raw data
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects

Benefits

• Remote: LATAM
• Contract: 40 hrs/week
• CST Time Zone
• USD Compensation