Technical Lead - Python, AI in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world's leading data-rich organizations across sectors such as 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, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.
Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Technical Lead – Data Engineering
As a Technical Lead, you will be responsible in 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.
Travel to client locations
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.
Guiding developers in day to day design and coding tasks
Play a key role in hiring technical talents to build the future of Sigmoid.
Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
Analytical and data driven orientation.
Raw intellect, talent and energy are critical.
Entrepreneurial and Agile : understands the demands of a private, high growth company.
8+ 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. Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as 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 Scala a must
- Ability to collaborate with a diverse set of engineers, data scientists and product managers
- 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.
Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc)
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