[3 Days Left] Senior Data Engineer
2 weeks ago
Primary responsibilities would include:
Investigate source data systems to build comprehensive data models to serve as Single Source of Truth Design and implement flexible, robust & scalable ETL infrastructure Deploy pipelines in higher environments after robust testing criteria Create and maintain robust Big Data pipelines for Machine Learning systems Optimize performance of Big Data scripts Create monitoring and reporting infrastructure for Machine Learning systems Develop systems that facilitate Data Science activities such as feature extraction and model testing Design and build automated systems with pipelines, transformations, data quality analytics and control logic. Generate, process, log and correlate events across multiple sources. Qualifications Basic qualifications:
Bachelor’s degree in Computer Science, Engineering, or closely related field 2+ years of experience designing and developing software. Proficient with Python, test-driven development, refactoring Strong scripting skills to perform data/file manipulation 1+ years of experience with data aggregation platforms based on technologies such as Spark, SQL, Azure Data Lake, etc. Solid understanding and proven skills in raw and processed stream design, relational database design and dimensional models Familiarity with machine learning and predictive analytics methods. Experience using scalable data ingestion and transformation systems in batch and near real time environments. Experience with SQL, relational modeling, and big data tools such as Cosmos, Hive, Scope or Spark Experience with ETL, data modeling, and working with Business Intelligence systems. Solid understanding of event processing including publish/subscribe mechanisms. Demonstrated ability to create and ship high quality code by using engineering best practices. Strong logical reasoning, problem solving and debugging skills Experience with developing software in distributed, cloud-based systems Experience with Big Data systems, Data Pipelines Technical experience with Python, SQL, other scripting languages. Keen interest in Machine Learning A team player with strong communication skills and drive for results
Preferred qualifications:
Azure, AWS Python SQL Knowledge in Machine Learning
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