Big Data Lead Architect

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

• Should have 10 years’ + hands-on experience in architecting, constructing and managing data (PB scale) on-prem or on-cloud.
• Should have at least 5 years on data science related algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics.
• Should have 5-10 years’ of experience in leading a team of Data Architecture, Data & Analytics, and project teams to translate business requirements that document data solution architecture
• Leads efforts to foster innovative ideas for developing high impact solutions.
• Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing
• Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions.
• Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities.

Technical Role and Responsibilities

• Demonstrated experience in enterprise data management technology and strategies, well-versed with cloud options for Analytics Platforms and data storage.

• Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence
• Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python
• Sound knowledge of ETL practices preferably spark in Data Bricks, cloud, big data technologies like AWS, Google, Microsoft, or Cloudera.
• Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods;
• Visualization tool experience - preferably with Tableau or Power BI
• Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond.

Education

• Required to have Bachelors/Masters/Ph.D. in Statistics/Machine Learning/Data Science/Analytics /Computer Science or Engineering from premier institutes
• Preferred to have Masters in Data Science/Analytics/Computer Science from premier institutes

Skills & Experience

Big Data, Big Data Analysis, Big Data Analytics, Big Data Architecture, Big Data Infrastructure, Big Data Processing, Big Data Solutions, Big Data Systems, Big Data Technologies

Cyient is an Equal Opportunity Employer.