Data Architect for Financial Services
1 day ago
About Gemini Solutions
Gemini Solutions is a leading offshore outsourcing company with expertise in the BFSI domain. Our team of experts has successfully delivered globally distributed projects across various technologies.
We are seeking an experienced ETL Tech Lead to oversee and drive data migration, integration, and pipeline development projects.
This role involves leading the migration of on-premise databases to AWS cloud platforms, ensuring seamless integration across diverse systems.
The ideal candidate will design and optimize robust ETL/ELT workflows, leveraging tools like Informatica, AWS Glue, and custom Python solutions, while maintaining data quality and governance.
About the Role
- Data Migration & Integration:
- Lead data migration projects to move on-premise data to AWS cloud-based solutions.
- Coordinate end-to-end processes for seamless data transfers and integrations across platforms.
- Data Ingestion & Pipelines:
- Design, implement, and maintain robust, scalable data ingestion pipelines to integrate structured and unstructured data from various sources into cloud-based platforms.
- Use tools like Informatica, Apache Airflow, or custom Python solutions.
- Cloud Infrastructure (AWS):
- Develop cloud-native data architectures using AWS services.
- Optimize data storage, processing, and retrieval in AWS to meet performance and cost efficiency goals.
- ETL/ELT Development:
- Build and optimize ETL/ELT processes using tools like Informatica, AWS Glue, and custom Python-based solutions.
- Ensure data flows are automated, efficient, and scalable.
- Automation & Workflow Orchestration:
- Implement and manage workflow orchestration with Apache Airflow to automate and schedule ETL tasks, ensuring reliable data delivery to target systems.
- Collaboration with Stakeholders:
- Work closely with business users, analysts, and other engineering teams to understand data requirements, propose data solutions, and ensure alignment with business goals.
- Data Quality & Governance:
- Ensure data quality, integrity, and compliance with governance policies.
- Implement monitoring and logging to ensure pipeline health and detect anomalies or issues proactively.
- Mentoring & Leadership:
- Mentor and guide junior data engineers, helping them grow in their technical skills and best practices.
- Performance Tuning & Optimization:
- Continuously monitor and optimize data pipeline performance, troubleshoot issues, and apply best practices for improving query performance and data processing times.
Estimated Salary: ₹ 25,00,000 - ₹ 30,00,000 per annum
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