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.