• US Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 30th May 2022

It is the role of the Data engineer to build data in systems, data products and pipelines throughout the enterprise
·         Collaborates with subject matter experts, source admins and consumers of data
·         Understands usage patterns, toolsets and processes leveraging the data products
·         Leverages knowledge of data access methods to relational and NoSql data sources and targets
·         Leverages knowledge of Data definition and data manipulation methods and optimization techniques for relational and NoSql data
·         Understands metadata available in source and target systems
·         Understands data security and privacy rules
·         Collaborates with API development team to creating a variety of data services to be exposed to a wider range of consumers
·         Performs data transformations and cleansing
·         Implements the appropriate integration patterns and methods throughout the data pipeline
·         Maintains data quality levels and alerts/triggering, alternate flows and reporting
·         Organizes and analyzes raw data for ad-hoc or scheduled requests
·         Understands 3rd Party or Industry Standard File Formats (EDI, HL7, NCPDP, etc.)
·         Uses tools, techniques and services to migrate data between on-prem and cloud.
·         Designs orchestration of data workloads on-prem and cloud instances
·         Performs Data prep for ML workflows.  May be responsible for assisting data scientists with building efficient ML workflows
·         Builds algorithms to leverage in pipelines and analytics
·         Develops or manages interface to analytical tools and programs
·         Understands the concept ""data temperature"" and movement of data through well-defined heat zones
·         Considers volume, velocity, variety, veracity, performance, exception handling and other factors in the data pipeline"