BigData - Spark
Job Description:
- Responsible for Design, Build & deployment the Solution in Bigdata.
- Ability to effectively use complex analytical, interpretive and problem solving techniques.
- Analytical, flexible, team-oriented and has good interpersonal/communication skills.
- Apply Internal Standards for re-use, Architecture, Testing and general best practices.
- Responsible for full software Development Life Cycle.
- Responsible for the on-time delivery of high-quality code with low rates of production defects.
- Research and recommend Technology to improve the current systems.
- Communicate status and risk to stakeholders and escalate as appropriate.
- Flexible and able to manage time effectively.
- Ability to learn new skills quickly with little supervision and ensuring the details of high priority.
- Excellent communication (verbal and written) and interpersonal skills with the ability to communicate well at all levels.
- Efficiently and effectively manage work, time, and resources.
- Strong problem solving and program execution skills while being process orientated.
- Self-motivating and delivery focused individual.
Required Skills:
- Minimum 6 to 8 Years of experience in Big Data and Data Engineering using Scala or Java (Python good to have)
- Designing and developing Scala related data pipelines and REST API.
- Ability to write robust code in Scala.
- Deep knowledge in Spark & Scala API experience is required.
- Good experience in Hadoop, Big Data, Hadoop centric Schedulers
- Big Data and reporting System integration through API knowledge is added advantage.
- Understanding of data structures, data modelling and software architecture
- Excellent communication skills
- Ability to work in a team.
- Outstanding analytical and problem-solving skills
- Banking domain knowledge is an Add-on Advantage
- Knowledge of Regulatory Reporting domain will be a strong plus