Job Location- Noida
CTC-29 lpa max
No of positions: 1

Roles and Responsibilities:

  • Architecting and designing analytics platform solution for clients
  • Identifying data sources and defining data pipeline, segmentation, and performance engineering for scale
  • Managing team of Data Analyst/ Data Engineers assigning work and reviewing quality of deliverables.
  • Experience in building business reports and dashboards with latest data warehousing and BI tools such as Snowflake/ Cognos/ Tableu/Superset/PowerBI
  • Strong understanding of data modeling, data warehousing concepts and various analytical data models
  • Familiarity with business domains such as healthcare
  • Migration experience highly preferred
  • Azure Cloud experience highly preferred
  • Perform research with new technologies and third-party vendor technologies as required and prototyping Design, develop and implement analytics based on the discussions with the team.
  • Programming skills in generic analytic platforms using Python/ Java/ Scala


Skills & Experience:

  • A minimum of 10+ years of experience with complex/large enterprise BI/ETL/Data Warehouse projects, Big Decisions Sales Analytics a.k.a. Redshift and Databricks Platform
  • Experience in Designing and architecting Data and BI solutions related to one or more of the following: data quality/data governance assessments, data strategy and roadmaps, integration scoping (requirements, design and mapping), Data warehouse and Data Lake design and implementation
  • Ability to perform Information Management assessments (review of needs, data quality, data security, etc.) and accurately estimate the implementation effort
  • Awareness of emerging Data warehouse design approaches and the potential future impact to data warehouse architecture
  • Advanced knowledge in Data warehouse dimensional modelling. Hands on knowledge with at least one Key ETL Market tool like Informatica Power Center, Oracle Data Integrator, Microsoft SSIS etc.
  • Hands-on knowledge with at least one Key BI Market tool (IBM Cognos, SAP BO, Oracle BI, Tableau, MS Power BI, QlickView, SSRS etc.)
  • Hands-on knowledge of enterprise repository tools, data modelling tools, data mapping tools, and data profiling tools. (e.g. SAS, R etc.)
  • Knowledge of latest market trends (Big Data, Blockchain, AI, Cloud, Mobile, etc.)
  • Knowledge of master data management and exposure to MDM tools
  • Strong communication, networking & interpersonal skills
  • Strong business analysis, planning, monitoring, requirement management and related knowledge
  • Experience with at least one of the Data Quality technologies (i.e. Informatica Master Data Management, SAS data management, Talend Data Quality)
  • Solid experience in developing data governance practices at enterprise level – Meta data, data lineage, data classification, data security & data life cycle
  • Experience with Normalized data store, Operational data store, Dimension data store & Enterprise Data lake
  • Understanding of predictive and prescriptive modelling.
  • Coordinate with the Data Science department to identify future needs and requirements
  • Excellent interpersonal and teamwork skills
  • Experience to drive solution/enterprise level architecture, collaborate with other tech leads
  • Strong problem solving, troubleshooting and analysis skills
  • Experience working in a geographically distributed team
  • Experience with leading and mentorship of other team members
  • Good knowledge of Agile Scrum
  • Good communication skills


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