Job Duties:

• Conduct requirements gathering workshops and lead the solution design process jointly with customers, partners and MuleSoft experts.
• Contribute subject matter expertise to effort estimation and SOW development.
• Create Articulate recommendations through compelling presentations and architectural blueprint documents to a variety of audiences, including client Business management and experienced IT architects. Lead technical teams through complex, multi-phased delivery projects and provide hands-on delivery guidance.
• Work with customers to create and influence proper standards for development, governance and operational lifecycle.
• Identify ongoing risks and pain points throughout the project, develop and implement mitigation measures
• Creating API’s using latest MuleSoft versions like 4.4.
• Working with business architects, and data stewards to capture business requirements in a Logical Data Model.
• Transform the logical representation of the model into a physical representation and work with data engineering team to instantiate and manage the data.
• Participate in the continuous improvement of MuleSoft & cloud integration products by leading internal work groups and design sessions within Professional Services and across the firm.
• Maintain the metadata - the "data about the data" describing the data model, its structure, and semantics.
• Recommend data and design patterns for common business functionality.
• Assist in multi-phase roadmaps within and across functional teams.
• Provide insight and technology recommendations that result in enterprise solutions and architectural risk mitigation.
• Contribute to innovation strategies by exploring, investigating, recommending, benchmarking and implementing new data centric technologies for the platform.
• Identify, design, and implement internal process improvements such as automation of manual processes, optimization of data delivery and re-design of existing infrastructure for greater scalability.
• Build the infrastructure and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and/or other data technologies.
• Create and maintain data-related documentation (e.g. data dictionaries, data maps, data models etc.)
• Work with data engineering and analytics experts to strive for greater functionality in our data systems and incorporation of industry best practices.

Work experience / Technologies required for the position :

• Experience building different API’s using MuleSoft anypoint studio and Cloud Hub.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong experience in Dataweave and integrating with different systems.
• Build processes supporting data transformation, data structures, meta data, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected data sets.
• Working knowledge of message queuing, stream processing, and highly scalable Big Data, data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience in a Software Engineer/ MuleSoft Engineer or similar roles, who has attained a Bachelor’s degree in Bachelor’s degree in Engineering, Computer Science, Information Technology, related field or equivalent work experience.
• Experience with Big Data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.