Senior Cloud Data Engineer

7 days ago

Gurgaon, Haryana, India KPMG India Full time
About KPMG in India

KPMG India has a long history of providing professional services to national and international clients. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India, offering a range of services to clients across sectors.

We are seeking a Senior Cloud Data Engineer to join our team. The successful candidate will be responsible for designing and implementing large and complex data analytics platforms, especially using Microsoft Azure services and other tools.

Key Responsibilities:
  1. Understanding of business requirements, translating them into technical designs, deal with complexities of integration of disparate systems
  2. Analyze and understand enterprise reporting needs across the organization. Identify and analyses source data (both internal and external) that is necessary to fulfil business intelligence needs.
  3. Experience in working with Azure Data Factory (ADF) and Azure Synapse Analytics for creating multiple pipelines and activities for full and incremental data loads into Azure Data Lake Store, Azure SQL DW and Azure Synapse DW
  4. Working experience with Databricks, Spark framework as well as experience optimizing PySpark queries
  5. Design of conceptual/ logical/ physical entity relationship and/ or relational models and knowledge of Star and Snowflake multidimensional models for EDW/ DL
  6. Develop, test, operate and support the end-to-end batch, near real time data and analytics solution
  7. Must be familiar with building stream pipelines to leverage IoT Hub, Event Hub, Databricks streaming and other Azure stream technologies
  8. Performs thorough code reviews of fellow developers and ensure quality code. (Guide the development and maintenance of data standards, data models in alignment with the solution architecture.)
  9. Use DevOps knowledge, cloud and data engineering expertise to operate, monitor and troubleshoot the pipelines / code bases
  10. Proactively collaborate and support the team if needed during the whole sprint cycle
  11. Provide technical design, coding assistance to the team to accomplish the project deliverables as planned/scoped.
  12. Work closely with Cloud administrator, DevOps manager, database administrator, ETL, and BI development staff to optimize overall design at an enterprise level.
  13. Formulates and recommends standards for achieving maximum performance and efficiency of the DW ecosystem.
  14. Setting development standards & producing design documentation & ensure other technical requirements such as performance, maintainability, and scalability

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