Our client, one of the largest accounting and consulting firms in the southeastern U.S., is seeking an individual who is energized by helping organizations navigate the next wave of innovation and change. This role is responsible for scheduling, orchestrating, and executing big data workflows and jobs using next-generation Data Workflow Orchestration platforms to meet needs for scale and speed. You will build fully managed workflows, enabling high throughput, horizontal scalability, and advanced parametrized, event-based scheduling.
Your team will build an ETL framework for incremental data processing for increased data accuracy, freshness, and easy backfill to directly impact the cost and operational efficiency of Analytics and ML. You will join a collaborative, cross-functional team that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation. We are seeking someone with knowledge of building next-gen capabilities on scalable and secure enterprise-grade platforms. You will collaborate with relevant business and technology partners across the firm and clients' multiple sectors.
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
Qualifications
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
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