Azure Data Engineer - Spark/Python (5-10 yrs)

About the job :

Company Description:

Element Technologies Inc is a technology company based in Bangalore, committed to offering high-value IT services using flexible engagement and delivery models. We collaborate with global industry-leading technologies to deliver greater business value in sectors such as Life Sciences, Banking & Financial Services, Retail, Telecommunication, and Convergent Media. Our business focuses on Outcome and Innovation, driven by Human Capital and Technology.

Role Description:

This is a full-time hybrid role for an Azure Data Engineer with flexibility for Hybrid working . The Azure Data Engineer will be responsible for tasks related to data engineering, data modeling, ETL processes, data warehousing, and data analytics. They will contribute to solving current business problems, delivering future visions, and empowering employees through technology.

Qualifications :

- Software development experience using :

1. Object-oriented languages (i.e. Python, PySpark,) and frameworks

2. Database programming using any flavours of SQL

Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure , Data Lake Storage, Azure SQL, Azure DataBricks etc.

- Expert knowledge of Python and/or Spark are required

- Expertise in relational and dimensional modelling, including big data technologies

- Exposure across all the SDLC process, including testing and deployment

- Good understanding of how to enable analytics using cloud technology and ML Ops

- Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus.

- Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure)

- Characteristics of a forward thinker and self-starter

- Ability to work with a global team of consulting professionals across multiple projects.

- Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems