Job Location: Pune
Key Responsibilities:
- Attend requirements gathering workshops, estimation discussions, design meetings and status review meetings
- Experience of Solution Design and Solution Architecture for the data engineer model to build
and implement Big Data Projects on-premises and on cloud. - Align architecture with business requirements and stabilizing the developed solution
- Ability to build prototypes to demonstrate the technical feasibility of your vision
- Professional experience facilitating and leading solution design, architecture and delivery
planning activities for data intensive and high throughput platforms and applications - To be able to benchmark systems, analyses system bottlenecks and propose solutions to
eliminate them - Able to help programmers and project managers in the design, planning, and governance of
implementing projects of any kind. - Develop, construct, test and maintain architectures and run Sprints for development and
rollout of functionalities - Data Analysis, Code development experience, ideally in Big Data Spark, Hive, Hadoop, Java, Python, PySpark,
- Execute projects of various types i.e. Design, development, Implementation and migration of
functional analytics Models/Business logic across architecture approaches - Work closely with Business Analysts to understand the core business problems and deliver
efficient IT solutions of the product - Deployment sophisticated analytics program of code using any of cloud application.
Desired Candidate Profile
- Translate complex functional and technical requirements into detailed design and development
- Technical Hands-on experience in design, coding, development and managing Large Hadoop implementation.
- Implement and deploy high-performance, custom applications at scale on Hadoop
- Hands on Experience in Spark Programming
- Data Warehousing projects with either Java, Python or Scala based Hadoop programming background.
- Experience Data Factory, Azure Data Lake Store, Azure Data Lake Analytics, Data Bricks, SQL DW & Power BI.
- Proficient with various development methodologies like waterfall, agile/scrum and iterative
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