Required Skills

Azure platform Azure Data Factory Azure SQL Data Warehouse Azure Synapse Analytics SQL Python Scala

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 30th Sep 2024

JOB DETAIL

  1. Partner with business unit IT teams to discuss, gather, and document analytics solution requirements.
  2. Partner with IT Infrastructure team architects to define, acquire, and deploy cloud services required for a given cloud analytics solution.
  3. Design, develop, implement, and support new and existing data & analytics solutions ingested from multiple source systems.
  4. Day-to-day management and support for analytics platforms to ensure availability and optimal performance.
  5. Demonstrate interpersonal skills needed to function effectively as a member of the team.
  6. Exhibit customer focus while interfacing with business partners.
  7. Work on other reporting and business intelligence related tasks as necessary.
  8. Design, develop, and maintain data pipelines and ETL processes using Azure Synapse Analytics, Azure Data Factory, and other relevant tools.
  9. Architect and implement data warehouse solutions on Azure Synapse, ensuring scalability, reliability, and performance.
  10. Collaborate with data scientists, business analysts, and domain experts to understand data requirements and translate them into technical solutions.
  11. Optimize data storage, retrieval, and processing for large-scale datasets, considering factors such as data security, compliance, and cost-effectiveness.
  12. Develop and implement data governance policies and best practices to ensure data quality, integrity, and consistency.
  13. Conduct performance tuning and optimization of SQL queries, stored procedures, and data processing workflows.
  14. Stay updated on the latest Azure services and features related to data engineering and incorporate them into existing and future projects.
  15. Provide technical guidance and mentorship to junior team members, fostering a culture of learning and innovation.
  16. Collaborate with stakeholders across the organization to identify opportunities for leveraging data to drive business insights and operational excellence.

Company Information