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Data Engineering Solutions Architect

1 month ago

Kolkata, West Bengal, India Sibia analytics Full time
Sibia Analytics - Data Engineering Solutions Architect

Estimated Salary: $120,000 - $180,000 per annum

About Us:

Sibia Analytics is a leading data science and analytics company dedicated to empowering businesses with actionable insights. We're committed to pushing the boundaries of what's possible with data-driven solutions.

Job Description:

We're seeking an exceptional Data Engineering Solutions Architect to join our team. As a key member of our data engineering practice, you'll be responsible for designing and implementing cutting-edge data solutions that drive business value.

Required Skills and Qualifications:
  • Proven experience in data engineering with a strong focus on solution architecture
  • Familiarity with cloud platforms like AWS (Amazon Web Services), Azure, or Google Cloud Platform
  • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes
  • Proficiency in CI/CD (Continuous Integration/Continuous Deployment) practices and tools like Jenkins, Travis CI, or CircleCI
  • Strong understanding of data warehousing, ETL processes, and data governance principles
Benefits:
  • Competitive salary and benefits package
  • Opportunities for career growth and professional development
  • A collaborative and dynamic work environment
  • Access to cutting-edge technology and tools
About the Role:

In this role, you'll work closely with our AI Solution Manager to allocate data engineering resources for various AI Solution projects. You'll also collaborate with Business Data Analysts, AI Champions, and Solution Managers to define business requirements and fulfill solution data requirements.

Key responsibilities include:

  1. Designing and implementing data engineering solutions that meet business needs
  2. Mentoring data engineering teams to address data engineering solution requirements
  3. Tracking industry trends, driving data standards, and leveraging latest industry technologies to increase efficiency of data engineering prototypes
  4. Ensuring that AI solutions create measurable business value and generate actionable business insights

To succeed in this role, you'll need excellent problem-solving skills, a strong understanding of data engineering principles, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders.