Sr. Manager - Global Analytics

Job Title:

Sr. Manager - Global Analytics

Job Description

We're Concentrix. A new breed of tech company — Human-centered. Tech-powered. Intelligence-fueled.
We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.
Our game-changers:
Challenge Conventions
Deliver outcomes unimagined
Create experiences that go beyond WOW
If this is you, we would love to discuss career opportunities with you.
In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today's hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of CX.
Concentrix provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region.
We're a remote-first company looking for the absolute best talent in the world. Experience the power of a game-changing career.
#LI-Hybrid

Tech Skills Required:

• 10+ years of experience in data engineeringExpertise in AWS data services, Python, ML, Cloud, and SQL, machine learning services, and cloud-native architectures.
• We are looking for an Principal Data Engineer to lead our team and drive-innovation in data engineering, machine learning, and large language models (LLMs). The ideal candidate/ you will be a strategic expert with deep technical expertise and experience in delivering cutting-edge solutions.Must have:
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 10+ years of extensive experience in data engineering, with a proven track record of delivering large-scale, complex data solutions.
• Deep expertise in AWS data services, machine learning services, and cloud-native architectures.
• Extensive knowledge of machine learning frameworks, libraries, and large language models (LLMs), with hands-on experience implementing and deploying LLM-based solutions.
• Experience with data quality practices, data governance, and data lineage management.
• Management skills with the ability to inspire and mentor teams, and lead strategic initiatives.
• Ability to articulate complex technical concepts to both technical and non-technical audiences.
• Experience in managing teams and projects.
• Proven ability to stay current with latest technologies, trends, and best practices in data engineering and machine learning.Desirable Skills:
• Advanced degree (Master's or Doctorate)- Good to have
• Experience with AWS machine learning services
• Knowledge of machine learning frameworks, libraries, and large language models (LLMs), with hands-on experience implementing and deploying LLM-based solutions.
• Contributions to open-source projects or thought leadership in data engineering, machine learning, or LLMs (e.g., publications, conference presentations, blog posts).
• Experience with streaming data processing and real-time data pipelines.
• Familiarity with MLOps and model deployment processes.
• Knowledge of cloud-native architectures and serverless computing.
• Experience with Apache Spark and distributed data processing frameworks.Additionally Desirable:
• Contributions to open-source projects or thought leadership in data engineering, machine learning, or LLMs (e.g., publications, conference presentations, blog posts).
• Experience with streaming data processing and real-time data pipelines.
• Familiarity with MLOps and model deployment processes.
• Knowledge of cloud-native architectures and serverless computing.
• Experience with Apache Spark and distributed data processing frameworks.

Location:

IND Bangalore - Manyata Blk D4, 2nd Flr

Language Requirements:

Time Type:

Full time

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