Position: NiFi /Big Data Developer
Must Have Technical Skills: NiFi
Good to have Technical Skills: Python, ETL
Preferred Industry Experience: Telecom
· Extensive experience on Nifi to setup data pipeline.
· Hands on experience in using controllers and processors to setup ETL framework in Apache Nifi
· Extensive experience in Python
· Food understanding on Spark, Spark Streaming & PySpark.
· Good understanding of Big Data components
Nos of Resources required: 2 to 3
Work location: Remote
Qualification: BTech
Experience: 4 yrs – 5 yrs
Mobilization Period in weeks: 1 week
Duration: 3 to 6 months
Position: Azure Snowflake
Azure :-Hands on experience in ADF – Azure Data Factory
Nos of Resources required: 1 to 2
Work location: As of now Remote (Bangalore)
Experience: 5 yrs – 6 yrs
Mobilization Period in weeks: 2 weeks
Duration: 6 to 12 months
·Conduct analysis to address critical business challenges faced by client teams working in different markets across the banking value chain to recommend the best data and insights powered solutions
· Gathering business requirements to create high level business solution framework covering aspects of banking customer journey, policy & regulatory requirements, data driven business process design & Technology Architecture
·Interface with client teams along with inputs from internal research and data insights teams to develop solutions for identified opportunities across banking LOBs
·Build analytical use cases in AI and Machine Learning across different banking functions including Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, Product design and Marketing, AI driven Customer Experience
· Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL, Oracle, S3 buckets and likes of the same
· You should have worked for 4-6+ years in the area of Knowledge Strategy and Consulting, Analytics and AI Delivery and Business Operations in any of the Tier-1 consulting organizations (McKinsey, BCG etc.) with focus and experience in Banking industry
·Experience in at least some banking function like Operations, Treasury and Finance, Risk assessment, Compliance and Regulatory, Fraud, IT and Technology, Product design and Marketing, AI driven Customer Experience
·Experience in at least some areas of banking domain like Cards/Payments/Retail or Commercial Banking/Digital/Mortgages or Regulatory/Data Privacy/Asset Management/CDD/KYC/AML or Contact Center/Branch Banking along with knowledge of various banking products is required
·Have experience in building analytics models in atleast 1 or more banking function for cross-sell up-sell models, churn models, forecasting models, fraud detection models, AML models, default prediction models, risk pricing models etc.
·Hands on experience in building and deployment of Statistical Models/Machine Learning using following techniques – Statistical Algorithms (at least some of them)
a. Segmentation and Predictive Modeling (K means, Clustering, Multivariate Regression, Logistic Regression)
b. ML algorithms –RF, GBM / XgBoost, SVM
c. NLP algos – TFIDF, Word2vec, LDA
d. Exploratory Analytics (T-tests)
e. Decision Trees
·Experience with some databases preferred like Oracle, TD, Sybase, MS SQL, Win SQL, S3 buckets
·Experience and exposure to developing cloud solutions on AWS/GCP/Azure
·Good experience with Data, Analytics and AI technologies & tools – data native mindset with a deep understanding of Statistics and experience in A/B or multivariate experiment set-up, sharing testing results & recommendations
·Ability of Visual story-telling with BI & Visualization Tools (Tableau/Spotfire/Power BI, Cognos, Business Objects) is preferred
·Advanced Excel including VBA and PowerPoint skills
·Consulting skills Experience preferred
·Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business people
·You are laser focused on delivering outcomes with speed and agility
·You are self-driven and thrive in ambiguity
·MA/MBA/MSc/MPhil. in Statistics / Economics/ Mathematics / Engg. Degree from Top Colleges in India or Abroad
Experience:
Job location:
Duration:
Joining:
Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.
Position: Azure Pyspark
Pyspark + with Data warehousing and Azure will be add on.
· Must have low level design and development skills. Should able to design a solution for a given use cases.
· Agile delivery- Person must able to show design and code on daily basis
· Must be an experienced PySpark developer and Scala coding. Primary skill is PySpark
· Must have experience in designing job orchestration, sequence, metadata design, Audit trail, dynamic parameter passing and error/exception handling
· Good experience with unit, integration and UAT support
· Able to design and code reusable components and functions
· Should able to review design, code & provide review comments with justification
· Zeal to learn new tool/technologies and adoption
· Good to have experience with Devops and CICD
Nos of Resources required: 1 to 2
Work location: Bangalore
Experience: 8 yrs – 9 yrs
Mobilization Period in weeks: 2 weeks
We need to predict the demand for a particular category of merchandise. As of now we don't have a hang of how much to produce.