Technical Architect/Sr. Technical Architect – Data/AI

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Job Description

Netwoven is looking for an experienced “Technical Architect/ Sr. Technical Architect – Big Data Analytics” with 14+ years of demonstrated software development experience across a broad range of technologies. We are looking forward to onboard a technology leader to help innovate, architect and build software products for the market. The job profile needs a technical leader with extensive experience in software product development using the Microsoft and Open Source technology. As a member of the Architecture Team, evangelize Offerings and contribute to its further development and/or customization

Job Responsibilities:

  • Identify Big data, ML & AI use cases for selected verticals and update the Technology Leadership team
  • Create co-laterals like white papers, blogs on topics of current interests and prepare presentation materials on service offerings along with the Sales team help define customer demos and prepare those demos
  • Set-up development environment for execution of Big Data, ML, AI projects
  • Architecting software applications and enterprise solutions for on-premise and cloud applications
  • Build data architectures and application architectures following industry best practices
  • Help build the Big Data, ML & AI team by interviewing talents and mentoring them for excellence
  • Keep track of developments in this space, analyze and adopt suitable offerings in solution design
  • Prepare weekly reports on activities – progress and projections and share with the Management team
  • Project estimation and management

Consultative Skills

  • Rich hands-on experience of working with Hadoop applications such as Apache Hadoop framework, HDFS,
    Spark, YARN, Hive, Ganglia, HBase, Flume, Kafka, Sqoop, Oozie, Spark Streaming and Python/Scala
  • Experience in Big Data and batch/real-time ingestion and analytical solutions leveraging transformational
  • Experience in data mining, data modeling, data processing
  • Understand the source systems data, gather & able to transfer the data into HDFS as RAW and Decomposed
    layer (including writing Oozie workflow, coordinators, Sqoop and Flume)
  • Having exposure on the Cloudera Manager, Cloudera Navigator, Hue, Shell Scripting, Apache Pig and Python
  • Good understanding in XSD, XML and JSON schemas Integrating Hadoop with Oracle and NoSQL databases
  • Good understanding of Lambda architecture and Big Data analytics framework
  • Good practical understanding and implementation experience in Machine Learning. Experience implementing
    ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network,
    SVM, Random Forest, convex optimization, transfer learning
  • Experience performing selection bias mitigation, ROC analysis, field performance analysis, data mining
  • Experience in frameworks such as Spark, SOLR / Elastic Search to implement real-time ML systems
  • Experience programming with Python / R/ Java / C#
  • Experience with SQL (MySQL/ Oracle/ SQL Server) and designing data models
  • Must have completed at least 2 Analytics Project Life Cycle from an end to end delivery perspective
  • Knowledge/experience on AI technologies like MS Bot service, MS Cognitive Services will be an advantage
  • Creating algorithms to extract information from a large data set to perform statistical analysis and analyze the same to create predictive models for consumer behavior
  • Establishing scalable, efficient, automated processes for model development, model validation and model

Experience Required

  • Min 14+ work experience in IT industry with 8 plus years as Enterprise Architect covering Big Data applications, Business Insights and Data Warehousing, Business Data Lake, Cognitive and Artificial Intelligence, Cloud BI implementations and 5 years in Strategic Consulting to CXO level stakeholders
  • Big Data, Data Science & Analytics
  • AI/Machine Learning Architecture
  • Leadership, Vendor Management, High-Level Budgeting
  • Extensive hands-on experience in Data Science: Predictive Analysis/Descriptive analysis/etc/Prepare
  • Must have experience in Proposals: RFP/RFI
  • Involve in Customer Engagement
  • Strong Knowledge in terms of understanding Business Requirements and providing Technical Solutions
  • Delivery management, ensure quality standard and customer expectation

Qualification Required

Bachelor’s in computer application / Computer Science, B. Tech. (IT), MCA, MTech in
Computer Science