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Senior ETL Abinitio Developer - Vice President is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
Responsibilities:
Recommended Qualifications:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
The role requires advanced data engineering proficiency, including hands on experience in designing, developing, and optimizing large-scale data pipelines, data transformation layers, metadata-driven frameworks, and ETL/ELT solutions using Spark based solutions in Databricks , Hadoop, AWS or GCP or in Abinitio.
Expertise should include:
Strong knowledge of Abinitio or Spark and in SQL, Unix/Linux, and modern data engineering practices.
Experience with data orchestration, data quality frameworks, and metadata management.
Ability to leverage AI and automation tools (e.g., AI-assisted data quality monitoring, intelligent data cataloging, anomaly detection, pattern-based data transformations) to enhance data accuracy and operational efficiency.
Knowledge or working experience in ETL/ELT Databricks solutions in AWS or GCP is an added advantage.
This technical depth is essential for building and maintaining the complex, high volume data processing systems that support financial reporting and regulatory compliance.
Critical Thinking & Innovation:
We require a candidate with exceptional analytical and problem solving skills, capable of both sustaining existing data processes and identifying opportunities for innovation. Responsibilities include:
Modernizing legacy data flows
Designing scalable, future-ready data solutions
Introducing AI-driven automation for data validation, metadata tagging, and exception handling
Improving system performance, reliability, and maintainability
Leadership & Team Building
Mentor and guide a team of Junior data engineers.
Stabilize delivery during high-pressure project cycles.
Foster a collaborative, high-performing engineering culture.
Ensure effective knowledge sharing and continuous improvement.
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