Pre-Sales Consultant

2 months ago

Indore, India Kanerika Software Full time
Summary:

Weare seeking a highly motivated and enthusiastic PreSales Consultantto join our growing team. In this role you will play a crucial partin supporting the sales team providing technical expertise andassisting with the development and deliveryof
engagingproposals presentations and demonstrations. This is an excellentopportunity for an individual with a strong desire to learn andcontribute to a dynamic and successfulteam.

Responsibilities:
  • Assistthe sales team in preparing proposals andpresentations.
  • Deliverproduct demonstrations and technical presentations to potentialcustomers.
  • Gatherfeedback from potential customers and communicate it to the salesteam.
  • Stayuptodate on the latest industry trends and product developmentsespecially in the world of Data &Analytics.
  • Participatein sales meetings and contribute to the development of salesstrategies for successfulconversion.
  • Supportthe sales team in closingdeals.


RequirementsQualifications:
  • MinimumBachelors s degree in Engineering or Master of ComputerApplication.
  • Aminimum of 3 years of experience in Data andBI.
  • Strongunderstanding of technology trends and emerging solutions relevantto theindustry.
  • Excellentcommunication presentation and interpersonalskills.
  • Abilityto work independently and as part of ateam.
  • Highlymotivated and selfdirected with a strong workethic.
  • Proficiencyin Microsoft Office Suite (Word Excel PowerPoint).
  • Experiencewith CRM systems (aplus).
TechnicalCapabilities:

  • Experiencein Azure PaaS Services i.e. Data Factory Synapse Fabric Data bricksetc.
  • Goodknowledge & handson experience in Spark with Python (2years).
  • 2years in Power BI should be well versed with concepts of buildingDashboards/Reporting.
  • Musthave worked in Pre SalesSolutioning.
  • Shouldknow how to perform project estimation and figure outimplementationtimeline.
  • Goodto have development experience using big data frameworks/Hadoopstack such as HBase Yarn HDFS Hive andPresto.
  • Relevantexperience with ETL methods and with retrieving data fromdimensional data models and datawarehouses.
  • Experienceusing NoSQL databases such as Cassandra HBase MongoDB DynamoDBElasticSearch.
  • Experiencewith streamprocessing systems: Storm SparkStreamingetc.
  • Experiencewith Databases andSQLs.
  • Stronganalytic skills related to working with unstructured datasets andbuilding processes supporting data transformation data structuresmetadata dependency workload managementetc.
  • Goodto know : Data Governance Data Quality MDM Lineage Data Catalogetc.
  • Shouldhave working knowledge on data and cloudwarehousing.
  • Asuccessful history of manipulating processing and extracting valuefrom large disconnecteddatasets.
  • Experiencesupporting and working with crossfunctional teams in a dynamicenvironment.
  • Strongunderstanding of Cloud Migration processes methods and projectlifecycle.
  • Goodcommunication problem solving and presentationskills.


Benefits

1.Culture:

  • OpenDoor Policy: Encourages open communication and accessibility tomanagement.
  • OpenOffice Floor Plan: Fosters a collaborative and interactive workenvironment.
  • FlexibleWorking Hours: Allows employees to have flexibility in their workschedules.
  • EmployeeReferral Bonus: Rewards employees for referring qualifiedcandidates.
  • AppraisalProcess Twice a Year: Provides regular performance evaluations andfeedback.

2.Inclusivity andDiversity:

  • Hiringpractices that promote diversity: Ensures a diverse and inclusiveworkforce.
  • MandatoryPOSH training: Promotes a safe and respectful workenvironment.

3.Health Insurance and WellnessBenefits:

  • GMCand Term Insurance: Offers medical coverage and financialprotection.
  • HealthInsurance: Provides coverage for medicalexpenses.
  • DisabilityInsurance: Offers financial support in case ofdisability.

4.Child Care&Parental LeaveBenefits:

  • Companysponsoredfamily events: Creates opportunities for employees and theirfamilies tobond.
  • GenerousParental Leave: Allows parents to take time off after the birth oradoption of achild.
  • FamilyMedical Leave: Offers leave for employees to take care of familymembers medicalneeds.

5.Perks and TimeOffBenefits:

  • Companysponsoredoutings: Organizes recreational activities foremployees.
  • Gratuity:Provides a monetary benefit as a token ofappreciation.
  • ProvidentFund: Helps employees save forretirement.
  • GenerousPTO: Offers more than the industry standard for paid timeoff.
  • Paidsick days: Allows employees to take paid time off when they areunwell.
  • Paidholidays: Gives employees paid time off for designatedholidays.
  • BereavementLeave: Provides time off for employees to grieve the loss of alovedone.

6.Professional DevelopmentBenefits:

  • L&Dwith FLEX Enterprise Learning Repository: Provides access to alearning repository for professionaldevelopment.
  • MentorshipProgram: Offers guidance and support from experiencedprofessionals.
  • JobTraining: Provides training to enhance jobrelatedskills.
  • ProfessionalCertification Reimbursements: Assists employees in obtainingprofessionalcertifications.
  • Promotefrom Within: Encourages internal growth and advancementopportunities.


Qualifications: Minimum Bachelor's s degree in Engineering orMaster of Computer Application. A minimum of 3+ years of experiencein Data and BI. Strong understanding of technology trends andemerging solutions relevant to the industry. Excellentcommunication, presentation, and interpersonal skills. Ability towork independently and as part of a team. Highly motivated andself-directed with a strong work ethic. Proficiency in MicrosoftOffice Suite (Word, Excel, PowerPoint). Experience with CRM systems(a plus). Technical Capabilities: Experience in Azure PaaSServices, i.e. Data Factory, Synapse, Fabric, Data bricks etc. Goodknowledge & hands-on experience in Spark with Python (2+years). 2+ years in Power BI, should be well versed with conceptsof building Dashboards/Reporting. Must have worked in Pre SalesSolutioning. Should know how to perform project estimation andfigure out implementation timeline. Good to have developmentexperience using big data frameworks/Hadoop stack such as HBase,Yarn, HDFS, Hive, and Presto. Relevant experience with ETL methodsand with retrieving data from dimensional data models and datawarehouses. Experience using NoSQL databases such as Cassandra,HBase, MongoDB, DynamoDB, Elastic Search. Experience withstream-processing systems: Storm, Spark-Streaming, etc. Experiencewith Databases and SQLs. Strong analytic skills related to workingwith unstructured datasets and building processes supporting datatransformation, data structures, metadata, dependency, workloadmanagement etc. Good to know : Data Governance, Data Quality, MDM,Lineage, Data Catalog, etc. Should have working knowledge on dataand cloud warehousing. A successful history of manipulating,processing and extracting value from large, disconnected datasets.Experience supporting and working with cross-functional teams in adynamic environment. Strong understanding of Cloud Migrationprocesses, methods and project lifecycle. Good communication,problem solving and presentation skills.

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