Position: Hadoop Admin

Must Have Technical Skills: Hadoop Admin

Good to have Technical Skills: Linux Admin, ETL

·         Extensive experience with RedHat Linux and Cloudera is mandatory.

·         Experience in installing, configuring, upgrading and managing Hadoop environment.

·         Responsible for deployments, and monitor for capacity, performance, and/or troubleshooting issues.

·         Work closely with data scientists and data engineers to ensure the smooth operation of the platform.

·         End-to-end performance tuning of the clusters.

·         Maintains and administers computing environments including computer hardware, systems software, applications software, and all configurations.

·         Defines procedures for monitoring and evaluates, diagnoses and establishes work plan to resolve system issues.

·         Working knowledge of entire Hadoop ecosystem like HDFS, Hive, Yarn, Oozie, Kafka, Impala, Hive, Kudu, HBase, Spark and Spark Streaming.

·         Knowledge of Private and Public cloud computing and virtualization platform.

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  

Our Client, A leading Finance company is looking to augment in their team with appropriate candidates with following skills. 

Job Description

1. 3-5 yrs of experience in Cognos 11.x,10.x
2. Good knowledge of SQL
3. Knowledge on creating reports(crosstab, list) in report studio
4. Hands on experience on Cognos framework manager
5. Hands on experience on Cognos Admin related activities    
6. Sound knowledge of data warehousing concept
7. Budget is just a numbers.

Location: Delhi NCR region. (Onsite)

Contract period: Min 6 months 

We are available over chat to address any queries.

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  

·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:

• 4 to 6 years

Job location:

• Bangalore

Duration:

• 3 months. May get extended.

Joining:

• immediate

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.