Data Engineer
Job description An emerging company that aims to eliminate fraud and inefficiency through network validation is looking for a Data Engineer. The selected candidate will analyze business requirements and translate them into logical data models. The company is building an all-in-one platform to help businesses accelerate and protect their customers. This is a nice opportunity for those who want to work with a world-class company that has been setting the industry standards. Job
Responsibilities:
Build and maintain the infrastructure to answer queries and enhance processes by working with data to address business problems Aid in streamlining the data science procedures, as well as expanding the customer lifecycle and retention models Develop data models and pipelines for research, reporting, and machine learning in collaboration with the data science and business intelligence teams Be a proponent of best practices and lifelong learning Model front-end and back-end data sources to get a better view of how users move around the system and to perform powerful data analysis Create data pipelines that clean, transform, and combine data from a variety of sources Create and manage an MLOps platform for deploying models that may be used to generate predictions and respond to questions Job Requirements:
Bachelor's/Master's degree in Engineering, Computer Science (or equivalent experience) At least 7
years of relevant experience as a data engineer 5
years of experience with Python, SQL, and data visualization/exploration tools, architecting complex data workflows Extensive experience working with Kafka and Docker Conversant with the AWS ecosystem, specifically RedShift, Athena, messaging brokers, and RDS Track record of building or maintaining ETL processes Solid proficiency in RESTful APIs, architecting complex systems with batch and real-time workloads, monitoring, and instrumenting production systems Previous expertise in developing and managing engineering teams and cross-functional project delivery schedules Nice to have some knowledge of Amazon Kinesis, AWS DevOps, and Zookeeper Strong written and verbal communication skills
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Responsibilities:
Build and maintain the infrastructure to answer queries and enhance processes by working with data to address business problems Aid in streamlining the data science procedures, as well as expanding the customer lifecycle and retention models Develop data models and pipelines for research, reporting, and machine learning in collaboration with the data science and business intelligence teams Be a proponent of best practices and lifelong learning Model front-end and back-end data sources to get a better view of how users move around the system and to perform powerful data analysis Create data pipelines that clean, transform, and combine data from a variety of sources Create and manage an MLOps platform for deploying models that may be used to generate predictions and respond to questions Job Requirements:
Bachelor's/Master's degree in Engineering, Computer Science (or equivalent experience) At least 7
years of relevant experience as a data engineer 5
years of experience with Python, SQL, and data visualization/exploration tools, architecting complex data workflows Extensive experience working with Kafka and Docker Conversant with the AWS ecosystem, specifically RedShift, Athena, messaging brokers, and RDS Track record of building or maintaining ETL processes Solid proficiency in RESTful APIs, architecting complex systems with batch and real-time workloads, monitoring, and instrumenting production systems Previous expertise in developing and managing engineering teams and cross-functional project delivery schedules Nice to have some knowledge of Amazon Kinesis, AWS DevOps, and Zookeeper Strong written and verbal communication skills
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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