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Sr. Data Engineer (Hybrid) Jobs in NY, USA

Sr. Data Engineer (Hybrid)

  • New York, NY, USA 
Reonomy
Negotiable
5 to 5 years
Full Time
Job Description

ead and collaborate with engineering team to design, build, and maintain our software systems  · Write high quality code, participate actively in code reviews, and consistently help to ship software, mentor others, and grow culture and team  · Work with Product team and other Engineers to maximize company ability to quickly leverage data and meet customers’ needs  · Deliver product features with high user value  · Drive revenue through enhanced features and a reliable product  · Achieve higher quality code every day (more reliable, scalable, performant, secure, etc.)  · Minimize the impact of defects, user errors, and other aspects on our technical products  Our new Senior Data Engineer will have:    · The experience. 4+ years in a Senior Data Engineer capacity. · Experience building online SaaS software applications and services  · Experience with complex data systems and large data sets  Data Collection · Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL, Python and AWS services (ie: Step Functions, Lambda, Glue, S3, Redshift) · Create and maintain optimal data pipeline architecture · Identify opportunities for automation within the data platform Data Storage · Create data models based on business objectives to determine how data can be stored and organized to support business processes · Design and implement improvements to data structures or adding new features as needed to support changing business requirements · Design, develop, maintain and deploy business’ data warehouse and datalake Data Enrichment · Build and maintain the master data management service to act as a single source of truth for entity resolution · Collaborate with the data science team to understand and integrate predictive and prescriptive models onto the data platform Data Consumption · Create derived domains based on ingested, enriched and mastered data sources · Experience working with any Cloud system like AWS, Azure, GCP.  · AWS is preferrable with knowledge on Lambda, S3, AWS Simple Notification services (SNS), RDS · Serverless experience   · CI/CD experience with any deployment tools like Jenkins, ADO  · Jenkins / Jenkins-pipeline-script · Unit and Integration Testing · GITHUB as source control and/or experience of working with ADO · Performing peer code review

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