Lead Data Engineer - Talend/Informatica (7-12 yrs)

Job Description :

Key Responsibilities :

- Team Leadership : Lead, mentor, and grow a team of data engineers, fostering a culture of excellence, collaboration, and continuous improvement.

- Data Pipeline Development : Oversee the design, development, and maintenance of robust ETL and ELT pipelines to ingest, transform, and process data efficiently.

- Cloud Data Infrastructure : Champion the architecture and implementation of cloud-based data solutions, particularly on platforms like Snowflake, ensuring data availability, scalability, and security.

- Cross-Functional Collaboration : Partner with product managers, analysts, data scientists, and other stakeholders to understand data needs and prioritize engineering efforts that drive impact.

- Architecture and Design : Develop and maintain data architecture strategies and best practices for high-performance data warehousing, ensuring seamless data integration from multiple sources.

- Performance Optimization : Identify and address performance bottlenecks, focusing on query performance, cost optimization, and resource allocation within the data infrastructure.

- Quality Assurance : Establish data quality and governance standards, implement monitoring and alerting frameworks, and ensure reliable data delivery.

- Innovation and Strategy : Stay up-to-date with industry trends and emerging technologies in data engineering, bringing innovative solutions to the team and aligning them with the organization's data strategy.

Mandatory Required Skills :

- From Asset Mgmt background if not then capital Market

- Experience in data engineering, with a minimum of 5 years in a leadership role

- Proficiency in ETL/ELT processes and experience with ETL tools (Talend, Informatica etc.)

- Expertise in Snowflake or similar cloud-based data platforms (e.g., Redshift, BigQuery)

- Strong SQL skills and experience with database tuning, data modeling, and schema design

- Familiarity with programming languages like Python or Java for data processing

- Knowledge of data governance and compliance standards

- Excellent communication and project management skills, with a proven ability to prioritize and manage multiple projects simultaneously