Technical Consultant Bigdata 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 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

• Strong background in data processing & software engineering and can build high-quality, scalable data-oriented applications using Python.
•  Strong Software Engineering experience with in-depth understanding of Python.
• Responsible for deploying applications and working with development and design teams to build websites or applications that suit the user’s needs.
•  Writing efficient, reusable, testable, and scalable code.
• Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components.
• Integration of user-oriented elements into different applications, data storage solutions.
•  Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications.
•  Designing and implementing – High availability and low latency applications, data protection and security features.
•  Experience working with libraries like Numpy, Pandas, etc.