Inviting applications for the role of Principal Consultant, Presales
Should have exposure to components like Cataloging, Data Lineage, Metadata and Master Data Management, Data Quality
Data Visualization Should have exposure to some of the tools like PowerBi, Qlikview, Tableau, Looker, etc.
Predictive Analytics Exposure to AI and Machine Learning would be an advantage
Should be bilingual and understand the technology along with domain
Big Data / Data Lake Should be well versed with Hadoop, Spark, Cloudera, MapR, Flume, Kafka, Hive, Impala etc.
Cloud based services Should be well versed with AWS, Azure services used for Data storage and Data ingestion / transformation like S3, ADF, Glue etc.
IPaaS and Traditional Data Integration Tools Should have exposure to atleast two ETL tools like Informatica, Dell Boomi, Mulesoft Pentaho, ODI etc.
Modernizing Datawarehouse Bring thought leadership and an enterprise point of view on modernizing the datawarehouse (exposure to MPP, Columnar databases etc.)
The role entails creating frameworks / jump start data models / data fabrics / PoVs in the area of Data Architecture, Data Orchestration, Data Governance.
SME should also be able to enhance Genpact deal win ratio & margins through the right solution. This will require in-depth understanding of our delivery model, and client relationship management.
Independently participating in RFP responses & proactive pursuits in the area of Data Engineering.
Conceptualizing and designing solutions, and articulating their value proposition to clients
Ability to bring in high end analytic techniques which are practical
Generating proposals and delivering presentations, demos and proof-of-concepts to showcase capabilities and transformation solutions
Liaise with Account Managers & Enterprise Sales Force to penetrate and up sell into existing accounts (both hunting and farming), positioning a variety of analytics led value propositions
Proactively identify niche opportunity areas within Data Engineering, and help define value proposition for analytics
Represent the Data Engineering Business in client discussions on RFX responses, trade shows and other industry networking events
Provide Strategic Onsite Consulting & Solutioning to customers during their modernizing datawarehouse journey, especially in design and implementation of data-centric architectures.
Provide Onsite / Offshore solutioning support to BD and presales activities
Work in conjunction with Presales / BD teams, program managers, and other stakeholders towards spotting and converting short cycle mining opportunities that may arise from time to time.
Responding to RFP / RFI s
Developing frameworks / data models / POV in data engineering
Substantially increasing leverage of data engineering in every deal
Developing commercial constructs around data engineering
Making key decision makers understand the value of data engineering in every deal
Managing stakeholder expectations during deal solutioning process, both internal and external
Ability to influence key business outcomes around information management
RFP / RFI solution experience is essential
Should have experience on Architecture and Design Principles
Ability to understand data engineering process and apply analytics to improve efficiency and deliver tangible business impact to end client organization
Should be dynamic to understand and recognize where data management and information governance is applicable.
Excellent communication skills, oral as well as written
Excellent presentation skills (PPT)
Strong experience in atleast three of the following :
Cloud Based Data Engineering Services
Data Management and Governance
Data Visualization and Reporting
AI and Machine Learning
MPP and Columnar Databases
Business consulting experience or internal consulting (in case of non-consulting companies) in data engineering
Preferred skills :
Hands on experience in BI / analytics architecting in atleast 2 domains
Good understanding of latest advancements in advanced analytics
Strong client management skills to build trust-based relationships (handling structured and unstructured conversations, ability to understand client s cultural nuances and flexing Genpact content accordingly, manoeuvre between setting realistic client expectations better than competition within internal clients
Ability to work in a matrix reporting relationships and global environment, with strong enough communication skills to influence multiple internal stakeholders
Knowledge of big data technologies like Hadoop / HIVE / / PIG / Spark / Scala etc.
Knowledge of NOSQL Database like AZURE Cosmos DB, Dynamo DB etc.
Any reporting or visualization tool like Tableau / SSRS / Power BI etc.
Excellent problem solving skills
High level of intellectual curiosity about the use of data engineering and Analytics
Consultative selling skills and Story-telling ability
World class Communication and Stakeholder Management
Ability to work in diverse teams and with multiple stakeholders
Experience in Analytics products and solutions.
Minimum qualifications :
B.E. in Computer Science, Information systems, or Computer engineering, Systems Engineering.
Excellent communication skills is a must
Should be skilled in creating presentations and working on PPT.,