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Data Designer

Roles & Responsibilities

  • 8-12 years total experience in data design/architecture
  • 5+ years big data experience and 3 years as solution architect
  • Proficiency in SQL and data analysis with experience writing ETL mapping specifications
  • Experience designing ODS and Data Marts; familiarity with data warehouse architecture (loading strategies, backup, recovery)

Requirements:

  • Create logical and physical data models using best practices to ensure high data quality and reduced redundancy
  • Design Operational Data Stores (ODS) and Data Marts and architect the data warehouse including loading strategies, backup, recovery and scalability
  • Write SQL, perform data analysis, and provide ETL mapping specifications; collaborate with Business Analysts on enterprise information requirements
  • Leverage telecom/domain knowledge, data visualization tools (Power BI, Tableau), and big data platforms (Databricks, HDFS) and MPP databases (Azure Synapse, Teradata) to implement solutions

Job description

Total experience: 8 - 12 years

Relevant experience: 5 ears of big data experience and 3 years’ solution architect

Salary: 170k P.A.

Remote work.

PFB the complete JD:

Should be able to create logical and physical data models using best practices to ensure high data quality and reduced redundancy

• Understanding of Telecom domain or good domain knowledge in any sector

• Expertise in writing SQL’s and perform data analysis

• Provide ETL mapping specification documents

• Experience in designing Operational Data Stores (ODS) and Data marts

• Designing a suitable technical architecture for the data warehouse implementation, these include loading strategies, backup, recovery and volumetric.

• Establishing the best practice approaches for solving business problems as well as providing inputs to the Business Analyst in terms of Enterprise informational Requirements

• Knowledge on any of the data visualization tools (Power BI, Tableau etc)

• Good exposure on any of the big data platform like (data bricks, HDFS etc)

• Adept knowledge on any of MPP databases like Azure Synapse, Teradata etc.

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