Lead API Engineer - Remote

API And Services Developer The person will build APIs and services for the clients integration data hub. Also, they will build internal components for their asynchronous event driven data hub.Qualifications 5+ years of lead API and service experience in MEAN or MERN stackStrong node, REST, Python, lambda, mongo development experienceExperience working with AWS: S3, EC2, Kinesis, API Gateway, SNS, SQS, Cloud Watch, Shield, Lambda, Cloud Front and RedshiftModern development practices and enterprise application integration (EAI)Building applications and systems for high volume transactions and dataKnowledge of cloud (AWS preferred), serverless, infrastructure services, DBMS products, solutions and modern data architectures (streaming/real-time data warehousing)Knowledge and experience using architectural patterns for data movement (streaming and event based), data storage, analyticsDeep knowledge of data modeling and metadata managementProven experience in managing and assisting in AWS system implementations or upgrades within a fast-paced environmentStrong leadership, communication (verbal and written), analytical and problem-solving skillsEffectively lead complex meetings with varying levels within organizationAbility to communicate complex technical analysis to technical and non-technical audiencesAbility to lead and provide direction to team members (on or offshore) including technical vision, architecture and designPossess the qualities and characteristics that support development of junior team members to grow a practiceOther Skills Strong application and service design and build experience (MEAN/MERN, REST service and node API)Application and service enterprise architecture experience for high volume transaction and dataExperience working with S3, EC2, Kinesis, API Gateway, SNS, SQS, Cloud Watch, Shield, Lambda, Cloud Front and RedshiftHands-on experience with platforms such as AWS EMR, Hadoop, Spark, or Kafka and languages such as Python, JAVA, or SQLProven ability to leverage and integrate technology components into an overall solution architecture in support of business requirementsMultiple years of relevant experience in creating solutions using cloud and big data technologies and techniquesMultiple years of relevant experience in very large data warehousing and/or advanced analytics using massively parallel (MPP) database platforms (such as Teradata, Netezza, etc.)Multiple or more years of relevant experience in the solution architecture and implementation oversight of data-intensive solutions4 years of relevant experience with ETL/ELT data-integration platforms such as Informatica, Talend, etc. a plus4 years of relevant experience with business intelligence toolsets such as Business Objects, Tableau, etc.