TATA Steel | Jobs | Manager Data Engineering Analytics | BigDataKB.com | 29-03-22

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Job Location: Bhubaneswar

Purpose of the Job

Interact with business users to identify Digital / IT initiatives which can contribute in generation of tangible business value. Create data architecture to service data visualisation and analytics. Creation of Data lake by connecting various data sources and creation of frontend for new data source as per business need (data acquisition). Align the architecture with changing business requirements (new applications). Identify ways to improve data reliability, efficiency and quality. Identify and address business pain points through visual representation of the data. Deploy sophisticated analytics programs, machine learning and statistical methods to facilitate faster and better decision. Experience in developing analytical models using Python, SCALA, Ruby. Do adequacy and sufficiency check of data, Prepare data for predictive and prescriptive modelling. Find hidden patterns using data, use data to discover tasks that can be automated. Deliver updates to stakeholders based on analytics, maintain and keep the model relevant based on user input / model performance. Budgeting, Planning and Project management of data visualisation and Analytical models. Annual Business Plan of the initiatives, budgeting, resource planning, solutioning, vendor engagement and project execution. Be the single point of contact for the business and deliver service to exceed expectation.

Key Objective / Overall Job Responsibility

  1. Data Acquisition from various systems (APIs), creation and maintenance of the data lake. Ability to write BADI & BAPI.
  2. Creation of Dashboards and MIS with necessary drill down to support business decisions on Tableau/Power BI, diagnose issues on wrong data/ incorrect logic & data representation.
  3. Creation of Analytical models to support business decisions & keeping the models relevant based on changes in input variables and its significance / accuracy.
  4. Execution of multiple projects and be the SPOC for all Visualisation and analytics projects — Data Translator, Data Engineer, Data Scientist, Visualisation expert. Collaboration with stake holders to get the job done on time.
  5. Adopt new technologies and languages for building models & address business need better. Collaborate with stakeholders and convince on adoption

Relevant experience

Should have performed role of a Data Engineer, Data Scientist, developed Dashboards / MIS on Visualisation tools like Tableau/Power BI to facilitate decision making. Project execution on Data Office/ Data lake will be preferred. Years of experience as Data Engineer, Data Scientist, Data Visualisation

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