Description

Key Responsibilities:

•                    Architect and Develop: Contribute to the platform’s architectural design and build integration, modelling, data persistence, and analytical systems.

•                    Data Pipelines: Implement, maintain, and test robust data pipelines.

•                    Metadata Management: Develop and manage metadata processes and tools.

•                    Performance Monitoring: Ensure the stability and performance of data pipelines.

•                    Data Quality: Implement tools for data curation, metadata management, and quality assurance.

•                    Collaboration: Engage with business and technology teams to align the platform with organizational goals.

Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.



Preferred Technical Skills:

•                    Programming: 5+ years of experience in Python/Java.

•                    Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).

•                    Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.

•                    Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.

•                    Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.

•                    Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.

•                    RDBMS: Knowledge of PostgreSQL is a plus.

•                    Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management

Key Skills

Education

Any Graduate