Director - Data Engineering
2 months ago
Job Description (Minimum 100 Characters)
Your Responsibility :
- Lead efforts in building and delivering the data strategy for data engineering.
- Manage development and support of data fabric platform that caters to needs of real time events and batch data processing.
- Manage end to end development of data products that include traditional RDBMS and big data platforms.
- Lead a team of Managers to build end to end data scalable engineering solutions covering data services and UI layers.
- Define a long-term talent strategy cutting across technology.
- Provide supervision, mentoring and development opportunities for the team who report into you.
Technical Leadership:
- Drive high-level architectural decisions and designs based on business priorities and requirement
- Improve, optimize, and identify opportunities for efficient end-2-end software development processes.
- Build and lead a high-performing team of data engineering professionals.
- Drive continuous improvement by researching industry best practices and incorporating it to our company.
- Drive the execution of multiple business plans for your own project team and deliverables.
- Represent the team in Senior leadership meetings and actively collaborate with business and product groups.
- Research and drive in bringing in open-source solutions into data space.
- Develop and implement best practices and standards across the team.
- Engage with Data leadership globally in setting up priorities for the team.
- Create a collaborative environment across geography for delivering best services to the customers around the globe.
- Provide supervision, mentoring and development opportunities for Senior Managers and Senior Data Architects.
Your Qualifications :
- Good academic record and graduated (B.Tech/ M.Tech) from a reputed institution
- Bachelors with 17-22 years of experience OR Masters with 15-20 years of experience in building data integration solutions involving Big Data platforms
- A strong understanding of data and reporting engines, data modeling and warehousing, and data transformations and pipelines for supporting real time and batch-oriented events processing.
- Experience in leading large/medium sized development team
- Understand the product and project management space with Agile methodologies.
- Experience in leading development of large-scale solutions
(ref:hirist.tech)-
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