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
