Job id : 33730
Big Data Solution Architect
Big Data Solution Architect
Client of
Vigilcore Trading and Consultancy
Bangalore / Bengaluru
4 years ago
JOB ID:33730
Job details
Job Type
Full Time
Functional Area
Software Development
Industry
IT-Software/Software Services
Education
Not Specified
Experience Required
10 - 20 Yrs
Key Skills Required
Working knowledge of MapReduce, HBase, Pig, MongoDb, Cassandra, Impala, Oozie, Mahout, Flume, Zookeeper/Sqoop and Hive
Other Skills Required
Job Description
DUTIES AND RESPONSIBILITY
Required Skills –Must have minimum 5+ years hands-on experience in one of the Big Data Technologies (I.e. Apache Hadoop, HDP, Cloudera, MapR)
3+ years of demonstrable experience designing ML/statistical solutions/Big Data to complex business problems at scale
Focus on building Banking and Financial Services industry grade solutions to address industry specific challenges
Fluent with digital areas related to data & analytics : Digital Technology - Mobility, Cloud, Analytics, Big Data, etc.
Develop & code production-grade novel algorithms for our business-experimentation platform
Experience Involves testing various machine learning and analytical tools, especially in the big data space, to scale prototypes to production-grade systems.
Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price ... See More
Required Skills –Must have minimum 5+ years hands-on experience in one of the Big Data Technologies (I.e. Apache Hadoop, HDP, Cloudera, MapR)
3+ years of demonstrable experience designing ML/statistical solutions/Big Data to complex business problems at scale
Focus on building Banking and Financial Services industry grade solutions to address industry specific challenges
Fluent with digital areas related to data & analytics : Digital Technology - Mobility, Cloud, Analytics, Big Data, etc.
Develop & code production-grade novel algorithms for our business-experimentation platform
Experience Involves testing various machine learning and analytical tools, especially in the big data space, to scale prototypes to production-grade systems.
Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price ... See More
DUTIES AND RESPONSIBILITY
Required Skills –Must have minimum 5+ years hands-on experience in one of the Big Data Technologies (I.e. Apache Hadoop, HDP, Cloudera, MapR)
3+ years of demonstrable experience designing ML/statistical solutions/Big Data to complex business problems at scale
Focus on building Banking and Financial Services industry grade solutions to address industry specific challenges
Fluent with digital areas related to data & analytics : Digital Technology - Mobility, Cloud, Analytics, Big Data, etc.
Develop & code production-grade novel algorithms for our business-experimentation platform
Experience Involves testing various machine learning and analytical tools, especially in the big data space, to scale prototypes to production-grade systems.
Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
Proficient in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM etc
Proficiency in at least one of R or Pythons (preferred) data science stack
A good learner, a good mentor, who inspires peers and team members to learn and expand their skill set, guiding them in the right direction.
Working knowledge of MapReduce, HBase, Pig, MongoDb, Cassandra, Impala, Oozie , Mahout, Flume, Zookeeper/Sqoop and Hive
Technical competencies in the space of Business Intelligence and Database
Exposure to data and analytics technologies on various cloud providers like AZURE, GCP and AWS
Should be well versed with agile methodologies, DevOps.
Thorough grasp on RDBMS and data management concepts as well as fluency in SQL scripting
Good customer presentation and communication skills
Should be passionate about Data & Analytics technologies and trends in the market
Should be conversant with the current trends in the Banking, Financial Services and Insurance Vertical. See Less
Required Skills –Must have minimum 5+ years hands-on experience in one of the Big Data Technologies (I.e. Apache Hadoop, HDP, Cloudera, MapR)
3+ years of demonstrable experience designing ML/statistical solutions/Big Data to complex business problems at scale
Focus on building Banking and Financial Services industry grade solutions to address industry specific challenges
Fluent with digital areas related to data & analytics : Digital Technology - Mobility, Cloud, Analytics, Big Data, etc.
Develop & code production-grade novel algorithms for our business-experimentation platform
Experience Involves testing various machine learning and analytical tools, especially in the big data space, to scale prototypes to production-grade systems.
Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
Proficient in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM etc
Proficiency in at least one of R or Pythons (preferred) data science stack
A good learner, a good mentor, who inspires peers and team members to learn and expand their skill set, guiding them in the right direction.
Working knowledge of MapReduce, HBase, Pig, MongoDb, Cassandra, Impala, Oozie , Mahout, Flume, Zookeeper/Sqoop and Hive
Technical competencies in the space of Business Intelligence and Database
Exposure to data and analytics technologies on various cloud providers like AZURE, GCP and AWS
Should be well versed with agile methodologies, DevOps.
Thorough grasp on RDBMS and data management concepts as well as fluency in SQL scripting
Good customer presentation and communication skills
Should be passionate about Data & Analytics technologies and trends in the market
Should be conversant with the current trends in the Banking, Financial Services and Insurance Vertical. See Less
About Company
We are HR Consulting firm located at Delhi, IndiaWe were registered in March 2019 and have started operations in May 2019. Currently we have more than 150 requirements to fulfill.
Recommended Companies
Recommended Events
