Responsibilities
You will be responsible mainly of the following:
- Deliver fully tested source code complying with quality indicators objectives
- Address technical aspects with architect and functional aspects with business analyst.
- Liaise with business analysts for clarification and understanding of requirements.
- Analyze technical constraints considering functional impacts with technical lead's help
- Organize and keep up to date detailed technical documentation
- Provide detailed estimation for development of solutions
- Develop tests strategy in coordination with project manager / Business Analysts
- Perform design and code review for other team members
- Mentor junior team members
- Be pro-active and ensure a continuous improvement mindset for the team
Qualifications and Profile
Work Experience
- At least 7 years solid hands-on experience in Java/J2EE development
- At least 3 years of experience in Apache Spark development
- Strong experience with Apache Spark(Dataframe, APIs, RDDs, Spark SQL) for building scalable ETL pipelines.
- Proficient in Shell scripting ( Bash or similar) for process Automation.
- Extensive expertise in MS SQL Server performance tuning, including:Query optimization and index tuningUnderstanding of execution plansDatabase monitoring and troubleshootingPartioning strategies, locking, blocking and deadlock analaysis
Functional
- Basic understanding of risk domain
- General banking, finance and investment banking understanding and knowledge
Technical
- Java/J2EE ,Spring, Spring Boot, RESTFUL Webservices, Apache Spark
- Knowledge on both frontend and backend development
- Solution design using proven patterns, awareness of anti-patterns, performance tuning
- Indepth knowledge on Relational databases - MS SQL Server, sql profiler, query analyzer
- Experience with CI/CD pipelines(Jenkins/GitLab or similar)
- Knowledge of scheduling tools(Airflow, Control-M)
- Strong understanding of data warehousing concepts, ETL design patterns and large-sclae data processing.
The following skills and experiences is a plus
- Experience in Docker, Kubernetes
- Exposure with cloud platforms (AWS, Azure or GCP) for data processing.
- Experience working in enterprise or financial services environments is an advantage.
