Big Data Platform Architect

3 days ago

Bhavnagar, Gujarat, India beBeeDataLeader Full time ₹ 25,00,000 - ₹ 35,00,000
Job Description

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with leading organizations across sectors such as retail, finance, life sciences, and manufacturing to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by multiple delivery centers and innovation hubs.

As a Technical Lead, you will be responsible for building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.

This position reports to an Engineering Manager.

Responsibilities:
  • Align the company with key client initiatives
  • Interface daily with customers to understand strategic requirements
  • Connect with senior-level clients on a regular basis.
  • Travel to client locations
  • Ability to understand business requirements and tie them to technology solutions
  • Facilitate in technical aspects
  • Design, develop, and evolve highly scalable and fault-tolerant distributed components using big data technologies.
  • Excellent experience in application development and support, integration development, and data management.
  • Provide technical leadership and manage day-to-day activities
  • Guide developers in design and coding tasks
  • Play a key role in hiring technical talents to build the future of the company.
  • Stay up-to-date on the latest technology to ensure the greatest ROI for customers and the company
  • Hands-on coder with a good understanding of enterprise-level code
  • Design and implement APIs, abstractions, and integration patterns to solve challenging distributed computing problems
  • Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a parallel processing environment
Qualifications:
  • 9+ years of track record of relevant work experience and a computer science or related technical discipline is required
  • Experience in architecture and delivery of enterprise-scale applications and capable in developing frameworks, design patterns etc. Should be able to understand and tackle technical challenges, propose comprehensive solutions, and guide junior staff
  • Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as Azure/GCP/AWS preferred
  • Experience working with large, complex data sets from a variety of sources
  • Experience with Hadoop, Spark, or similar stack a must
  • Experience with functional and object-oriented programming, Python or PySpark a must
  • Effective communication skills (both written and verbal)
  • Ability to collaborate with a diverse set of engineers, data scientists, and product managers
  • Technical knowledge in Spark, Hadoop & GCS Stack
  • Comfort in a fast-paced start-up environment

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