Big Data Engineering Leader

2 days ago

Tiruppur, Tamil Nadu, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000
Job Description

We are seeking a highly skilled Technical Lead to join our team.

The successful candidate 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 role requires strong technical expertise in architecture and delivery of Enterprise scale applications, as well as experience in developing frameworks, design patterns, and capable of understanding and tackling technical challenges.

The ideal candidate will have a proven track record of building and shipping large-scale engineering products, knowledge of cloud infrastructure such as Azure/GCP/AWS, and experience working with large, complex data sets from a variety of sources.

Responsibilities:
  • Align business objectives with key client initiatives
  • Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
  • Connect with VP and Director 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 it day to day basis
  • Guiding developers in day to day design and coding tasks
  • Play a key role in hiring technical talents to build the future of the organization
  • Stay up-to-date on the latest technology to ensure the greatest ROI for customers and the organization
  • Hands on coder with good understanding on 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
Required Skills and Qualifications
  • 9+ years of track record of relevant work experience and a computer science or a related technical discipline is required
  • Experience in architecture and delivery of Enterprise scale applications and capable in developing framework, 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
Benefits

The successful candidate will have the opportunity to work with a dynamic team, contribute to the growth and development of the organization, and gain valuable experience in the field of big data engineering.

Others

It's essential to be a strategic thinker with the ability to think unconventionally and analytically driven orientation.

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