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Azure Data Engineer

2 months ago

Cincinnati, United States Tata Consultancy Services Full time

Role: Azure Data Engineer.

Location: Cincinnati, Ohio, United States (Onsite).

Job Type: Full Time.


Job Description:

Roles & Responsibilities:

  • Gathering business requirements and transforming to functional and technical specifications
  • Leading BI team in both technical and functional aspects
  • Liaising between business, Client IT and TCS team


  • Strong knowledge in AZURE Synapse, Azure Data Factory, Qlik replicate, Qlik Compose & Denodo
  • Strong Data Warehouse and Data Visualization skills (Oracle & Microsoft tools), ODI , OBIEE , Power BI , SSIS
  • Develop and maintain SQL, PL/SQL, Python code as needed
  • Understand and navigate a wide array of source data systems (enterprise data warehouses, relational databases, IT systems, in house and COTS applications, documents, APIs, unstructured data, big data, NoSQL databases, etc.)
  • Analyse data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making
  • Standardize data and reporting across businesses and teams to enable consistency and quality of key business data
  • Design and develop enterprise data warehouse platform that conforms to consistent methodologies, standards and industry best practices
  • Design, develop, test and document data integrations and assist with deployment, validation and hypercare
  • Maintain and support ETL/ELT integrations using technical documentation
  • Participate in designing overall logical & physical data warehouse and data mart models and architectures to support business requirements
  • Assist with review to confirm technical feasibility of integration development objects based on integration principles and best practices
  • Propose new methodologies to demonstrate data to improve existing methodologies
  • Developing prototypes and proof of concepts for required solutions
  • Implementing information security standards in enterprise data warehouse
  • Prepare and present ideas and recommendations to colleagues and management
  • Document solutions through high/low level design documentation
  • Learn new ground breaking data engineering and analytic tools as needed
  • Contribute to development of the overall solution approach
  • Recommend solutions to address gaps
  • Assist with development estimation
  • Supervise and review activities of consultants