Director of Engineering
- Streamvector
- 14 - 18 yrs
- Bengaluru
- 5 years ago
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Desired Candidate Profile
As a Director of Engineering, you will be leading a team to build a highly scalable and extensible big data team that provides the foundation for collecting, storing, modelling, and analysing massive data sets from multiple channels.
The ideal candidate will have demonstrated experience in hiring, building teams from the ground up, retaining top talent, establishing scalable and sustainable architecture, collaborate on the strategy & roadmap by working closely with the customers & technical leads.
You should have great technical depth, superior process skills, awesome people skills, a high level of integrity, and a strong desire to build successful engineering teams.
What you should have
- Strategic Business focus mind set
- Prior consulting industry experience, interface with customers, often Client travel
- Hiring & Mentoring teams
- Deep technical knowledge in software, systems and security to dive into details with engineers and distil to high level for executives, customers and non-technical audience.
- Oversee Architecture & design of technically robust, flexible and scalable solutions.
- Bringing the Technical leadership to influence, guide & champion adoption of best practices to build scalable architecture though process
- Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
- Design, develop, evolve & Implement highly scalable and fault-tolerant distributed components using Big data technologies.
- Hands on coder with good understanding on enterprise level code
- Must be a strategic thinker with the ability to think unconventional / out:of box.
- Analytical and data driven orientation.
- Ability to be both a leader and hands on "doer".
Required Candidate profile
- Dynamic leader who has directly managed team of highly competent developers in fast paced work environment, Experience in building, leading & managing large multi-engineer projects and mentoring top-notch engineers.
- Experience in Architecture and delivery of Enterprise scale applications
- Development and support experience in Big Data domain
- Architecting, developing, implementing and maintaining Big Data solutions
- Experience with database modelling and development, data mining and warehousing.
- Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc.)
- Ideally 14-16 years of experience; however, years of experience are not a blocker or criteria for a deserving candidate.
- At least 5 years in a Management role with 2+ years as a Manager of Managers.
- Must have spent 2+ years at a start-up or worked in a small and reasonably independent team/development centre.
- Deep Understanding of enterprise grade technologies.
- Strong leadership skills & Strong project management skills with experience of delivering high quality projects on time
Education:
UG: B.Tech/B.E. - Any Specialization, Any Graduate - Any Specialization
Contact Details:
Keyskills: mapreduce hive spark hdfs big data data mining data extraction scala Cassandra
Streamvector
Streamvector Technology Pvt. Ltd. Sigmoid is a Leading Data Solutions company offering best-in-class services in Data Engineering and Data Science. We leverage our expertise in Open Source, Cloud, ML and AI to develop innovative frameworks catering to specific client needs.Our team of engineers,...
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