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 the Engineering manager.Responsibilities:Align 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 company.
Stay up-to-date on the latest technology to ensure the greatest ROI for customer & company
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
Culture
Must be a strategic thinker with the ability to think unconventional /out of box.
Analytical and data driven orientation.
Raw intellect, talent and energy are critical.
Entrepreneurial and Agile : understands the demands of a private, high growth company.
Ability to be both a leader and hands on "doer".
Must have Qualification:
8+ year track record of relevant work experience and a computer Science or a related technical discipline is required
Must have experience with Big Data Stack
Must have understanding/knowledge of DSA (Data Structure & Algo)
Excellent in coding and system designing/ documentation
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 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 SQL 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
Good to have Qualification:
Experience in agile methodology
Development and support experience in Big Data domain
Architecting, developing, implementing and maintaining Big Data solutions
Experience with Airflow, SQL Server, Glue, Snowpark
Experience with AWS and Direct Query
Experience with database modeling and development, data mining and warehousing.