Redpoint Tech Lead
Job Description
Job Title: Redpoint Tech Lead
Job Location: Remote (USA)
Hire Type:Contract
Technical Skills:
RPI:
· Build real-time web personalized experience management.
· Building selection rules
· Building customer journey orchestration like
o Templates Creation
o Customer attribute creation,
o Preferences customization
o Selection criteria,
o Segmentation
· Target audience, inbound and outbound campaigns, and promotions.
· Demographic-specific reports generation, etc.
· Customization of metadata
· AB testing and associated Interaction
· Customer Dashboards and layouts
RPDM:
· Creation of Schema, Entity
· Custom table creation
· Establish a relationship with Golden Records.
· Mapping of source and target systems
· Establishing real-time connectivity
· Omnichannel connectivity of the upstream and downstream systems
· Creation of Datafile, folders
Job Description/ Requirement
· 8+ years of strong ETL experience in Redpoint Database Management
· 8+ years of hands-on software engineering experience.
· 8+ years of experience integrating technical processes and business outcomes, specifically data and Prior experience in troubleshooting complex system issues, handling multiple tasks simultaneously, and translating user requirements into technical specifications.
· Experience working in an offshore/onshore team model.
· Strong database fundamentals, including SQL, performance, and schema design.
· Strong understanding of programming languages like Java, Scala, or Python.
· Design and implement Data security and privacy controls.
· Experience with Git or equivalent source code control software.
· Prior experience in a fast-paced agile development environment is a plus.
· Process analysis, data quality metrics/monitoring, data architecture, developing policies/standards, and supporting processes.
· Designing and building data pipeline (batch & streaming), extensive experience in Apache Spark, Spark
· Streaming Kafka. Hands-on with coding skills to do the POCs and build prototypes.
· Aware of various aspects of data pipelining
· Knowledge of Profiling/Prototyping
· Experience in designing solutions for large data warehouses with a good understanding of cluster and