Description

You will design and oversee Talend-based data architectures and ETL frameworks. You define system architecture, including environment standards, sandbox configurations, SVN repository setup, and server directory structures. You develop reusable design patterns for data movement, surrogate key generation, validation, and extraction processes. You build foundational components such as error/audit frameworks and source acquisition ETL frameworks. You mentor developers by reviewing ETL code for logic and performance, ensuring job modularity and reusability. You create detailed technical design documents and oversee the end-to-end development lifecycle.

Responsibilities

• Define Talend system architecture, environment standards, and repository structures.
• Develop reusable design patterns for data movement, surrogate keys, and validation.
• Build foundational error/audit frameworks and source acquisition components.
• Mentor developers on ETL code logic, performance, and modularity.
• Create technical design documents and oversee the end-to-end development lifecycle.

Required Skills

• 12-15+ years of experience in ETL or Big Data Architecture.
• At least 3 years of recent, hands-on experience with Talend.
• Deep expertise in designing ETL frameworks.
• Strong proficiency with relational and non-relational databases.
• Ability to optimize ETL job performance and identify dependencies in complex flows.
• Experience defining coding specifications and technical design documentation.
• Any Graduate degree.

Preferred Skills

• Hands-on experience with Big Data technologies including Hadoop, Hive, and Spark.

Key Skills

Education

Any Graduate