
Data Engineering Consultant
Consult as part of a team in charge of building end-to-end digital transformation capabilities and lead fast moving development teams using Agile methodologies. Design and build Big Data and real-time analytics solutions using industry standard technologies and work with data architects to make sure Big Data solutions align with technology direction. Design, build and test data Ingestion frameworks for enabling data supply chain pipelines ensuring data governance and data onboarding best practices. Show a strong aptitude for carrying out solutions and translating objectives into a scalable solution that meets end customers’ needs within deadlines. Lead by example, role-modeling best practices for unit testing, CI/CD, DevOps, performance testing, capacity planning, documentation, monitoring, alerting and incident response.
Minimum 2+ years' of expertise in designing, implementing large scale data pipelines for data curation
Minimum 1 year of designing and building streaming data ingestion, analysis and processing pipelines
Experience implementing smart data preparation tools such as Paxata and Trifacta for enhancing analytics solutions.
Kafka
Time Management Skills
Kafka Streams
Big Data ETL pipelines
Data curation and analysis
Designing and building streaming data ingestion
Results Oriented
Verbal communication
written communication
Problem-Solving
Flexible team player
Detail Oriented and Organized
Multi tasker
According to JobzMall, the average salary range for a Data Engineering Consultant in 800 N Glebe Rd, Arlington, VA 22203, USA is between $80,000 and $130,000. This range is dependent on experience, education level, and other factors.
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