
Senior Lead Solution Architect – AI/LLM/ECS
- Pune, Maharashtra
- Permanent
- Full-time
- 15+ yrs hands on experience in Java development.
- Working experience in designing systems with Low Latency Streaming Architectures
- Working Knowledge of NoSQL, Kafka, Big Data, MongoDB
- Hands-on experience on Hadoop, Big Data, Spark SQL, Hive/Impala.
- Experience in delivering Regulatory ask like in extremely compressed timelines
- Experience is JMS and Real time message processing on TIBCO.
- Experience using Jira, Bit Bucket and managing development/testing/release efforts.
- Experience using XML, FIX, POJO, JSON message format.
- Experience with Impala, Elastic & Oracle.
- Working knowledge on AWS-ECS- Exp on Code Build/Code Pipeline for CI/CD & CloudWatch for logging/Monitoring
- Hands on Amazon Simple Storage Service (S3).
- Added advantage of having hands-on experience with AI/ML technologies, including Python, Predictive Modeling, Natural Language Processing, Machine Learning Algorithms, and general data structure modules.
- Good to have knowledge on Order and Executions and Trade Life Cycle Events & knowledge to work with message formats like FPML and ISO20022.
- Ability to lead a team from the front and guide them through time sensitive milestones.
- Focus on leveraging regulatory delivery as a driver for the firm’s data strategy.
- Very good communication and interpersonal skills.
- Excellent relationships with senior tech, business and compliance partners.
- Experience with delivery expertise for large scale programs.
- Ability to align delivery with firm’s long-term strategy.
- Quick decision maker with the ability to take a grasp of the situation in case of an issue and mitigate the impact.
- Proficiency in writing SQL queries for data analysis and validation.
- Experience working with data across Big-data or NoSQL Platforms
- Proficient in writing complex SQL queries in Hive and Impala for data extraction, transformation, and analysis.
- Experience optimizing Hive and Impala queries for performance and scalability.
- Experienced with Agile, JIRA, Confluence
- Strong understanding of Hive and Impala data partitioning, bucketing, and indexing techniques.
- Familiar with various Hive and Impala file formats (e.g., Parquet, ORC, Avro) and their performance characteristics
- Working knowledge of data analysis tools like Excel, Tableau or Power BI..
- Excellent communication and stakeholder management skills, including with senior leadership and global teams.