Engineering Manager (Full Stack) at STREAMVECTOR INC D B A SIGMOID ANALYTICS

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Big Data Architectures, Java, Python, Team Leadership, Client Interface, Requirement Gathering, Delivery Planning, Distributed Components, Application Development, Data Management, Hiring Management, API Design, Data Transformation, Parallel Processing, Strategic Thinking, Agile

Industry

Business Consulting and Services

Description

Sigmoid works with a variety of clients from start-ups to fortune 500 companies. We are looking for a detailed oriented self-starter to assist our engineering and analytics teams in various role as a Software Development Engineer II This position will be a part of growing team working towards building world class large scale Big Data architectures. This individual should have sound understanding of programming principles, experience in programming in Java, Python or similar languages and can expect to spend a majority of their time coding. Responsibilities: As an Engineering Manager, you will be leading a team to build a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with CIO, VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Build a delivery plan with domain experts and stay on track 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. Build team and manage it day to day basis Play the key role of hiring manager to build the future of Sigmoid. Guiding developers in day to day design and coding tasks, stepping in to code if needed. Define your team structure, Hire and train your team as needed 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 :- 10+ year track record of relevant work experience and a Computer Science or related technical discipline is required Dynamic leader who has directly managed team of highly competent developers in fast paced work environment Experience in Architecture and delivery of Enterprise scale applications. 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)

Responsibilities

The Engineering Manager will lead a team in building a highly-scalable big data platform for data collection, storage, modeling, and analysis, while interfacing daily with Fortune 500 clients to understand strategic requirements. This role involves designing and evolving fault-tolerant distributed components using Big Data technologies, managing the team, and stepping in to code when necessary.