Key Responsibilities:
- Design, develop, and maintain robust ETL pipelines to ingest data from various banking systems into analytics platforms.
- Build and optimize data models for reporting, analytics, and machine learning use cases.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
Conduct in-depth data analysis to answer complex business questions, across Risk, Credit and Liabilities domain, delivering actionable insights for decision-making
- Ensure data quality, integrity, and security across all data platforms.
- Implement data governance and compliance standards.
- Monitor and troubleshoot data workflows and infrastructure performance.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- Minimum 4 years+ of experience.
- Min 2 years Experience in the Banking or Financial services domain
- Working knowledge of front end or analytics platforms like Tableau, Power BI, SAS
- Proficiency in SQL, Python, and data pipeline tools.
- Experience with RDBMS, SQL, Postgres
- Familiarity with cloud data services (AWS Redshift, Azure Synapse, etc.). Experience with cloud platforms (AWS, Azure, GCP) and modern data tools (Spark, Kafka, Airflow) could be helpful
- Understanding of data warehousing concepts and big data technologies.
- Strong problem-solving and communication skills.
- Exposure to real-time data processing and streaming technologies would be helpful
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