Sigmoid Analytics

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.

This position reports to Engineering Manager.

Responsibilities :

- Align Sigmoid 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 Sigmoid.

- Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid

- 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".

Qualifications :

- 7+ year 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 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, JAVA, Python or Scala 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 Qualification :

- 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)