Big Data Engineering Leader

2 days ago

Vijayawada, Andhra Pradesh, India beBeeBigData Full time ₹ 2,00,00,000 - ₹ 3,00,00,000

Sigma empowers enterprises to make informed decisions by blending data engineering with AI consulting. Our collaboration spans sectors including CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges.

Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs worldwide.

We are recognized as a leader in the data and analytics space, backed by Peak XV Partners and consistently receive accolades for innovation and growth.

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

  • Align with key client initiatives
  • Interface daily with clients across leading Fortune 500 companies to understand strategic requirements
  • Connect with VP and Director level clients regularly
  • Travel to client locations
  • Understand business requirements and tie them to technology solutions
  • Facilitate technical aspects
  • Design, develop, and evolve distributed components using Big data technologies
  • Excellent experience in application development and support, integration development, and data management
  • Provide technical leadership and manage daily operations
  • Guide developers in design and coding tasks
  • Hire technical talents to build the future of Sigma
  • Stay up-to-date on the latest technology for maximum ROI
  • Hands-on coder with 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 Parallel Processing environments

You must be a strategic thinker with analytical and data-driven orientation. Raw intellect, talent, and energy are critical. You should be entrepreneurial and agile, understanding the demands of a private, high-growth company.

Requirements:

  • 9+ years 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 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 various 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

PREFERRED QUALIFICATIONS:

  • Experience in agile methodology
  • Development and support experience in Big Data domain
  • Architecting, developing, implementing, and maintaining Big Data solutions
  • Experience with database modeling and development, data mining, and warehousing.

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