Senior Software Engineer/ Associate Manager- Azure Data Engineer

Date: May 7, 2022

Location: Bangalore / Gurgaon / Chennai , India

Company: Tredence

Job Description

 

We are looking for an analytical, big picture thinker who is driven to enhance and further the mission of Tredence by delivering technology to internal business and functional stakeholders. You will serve as a leader to drive the IT strategy to create value across the organization. This Data Engineer will be empowered to lead the engagement to focus on implementing both low-level, innovative solutions, as well as the day-to-day tactics that drive efficiency, effectiveness and value

 

You will play a critical role in creating and analyzing deliverables to provide critical content to enable fact-based decision making, facilitation and achievement of successful collaboration with the business stakeholders. You will analyses, design, and develop best practices business changes through technology solutions.

Roles & Responsibilities

  • Able to work in a rapidly changing business environment and adopt to the fast paced environment quickly
  • Strong analytical, inter personal communication skills
  • Must possess impeccable communication skills, both in verbal and in written form
  • Domain knowledge of Retail, CPG, TMT industries
  • Strong analytical, inter personal communication skills
  • Must possess impeccable communication skills, both in verbal and in written form
  • Overall 2+ yrs (2-4 for SSE,4+ for TC) of experience in Data Engineering and Cloud Technologies 

 

Experience

  • Minimum 4+ years of software development experience
  • Bachelor's and/or Master’s degree in computer science
  • Led and delivered data management projects in Azure Cloud
  • Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
  • Deliver data models on Azure platform, it could be on Azure Cosmos, SQL DW / Synapase or SQL
  • Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
  • Deploy Azure DevOps and CI CD processes
  • Mandatory Skills: Azure Data Lake, Data Factory, SQL database