Senior Software Engineer/ Associate Manager- Azure Data Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

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 analyze, design, and develop best practices for business changes through technology solutions.

Roles & Responsibilities

• Able to work in a rapidly changing business environment and adapt to the fast-paced environment quickly
• Strong analytical, and interpersonal communication skills
• Must possess impeccable communication skills, both in verbal and in written form
• Domain knowledge of Retail, CPG, and TMT industries
• Strong analytical, and interpersonal 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 the Azure platform, it could be on Azure Cosmos, SQL DW / Synapse 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