Sr. Data Engineer

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Duties & Responsibilities

• Develops automated data pipelines based on recommended solution by Data Engineering Lead using official ETL tools determined by Data Engineering Head
• Creates automated data pipeline design documentation, Source-to-Target spreadsheets, and technical design specifications.
• Provides technical expertise, troubleshoots, guides and supports during design, development, testing, production and post-production.
• Understands the source system, captures and documents business rules.
• Analyzes and proposes changes to maximize code reusability and maintain business value.
• Develops, implements and maintains highly efficient and scalable automated data pipeline processes.
• Provides expert technical knowledge and solutions pertaining to Data integration.
• Identify opportunities to optimize the automated data pipeline including environment setup, implement monitoring, quality and validation processes to ensure data accuracy and integrity.
• Provides inputs into data governance organization to drive the data governance charter.
• Ensures compliance to internal standards and guidelines.
• Conducts unit testing and component integration testing for solutions developed
• Reviews business and technical requirements and ensures the data integration platform meets requirements.
• Applies industry best practices for automated data pipeline design and development.
• Implementation of an end-to-end complex automated data pipeline system using common Big Data Tools such as (but not limited to) Apache Spark, Talend, Kafka, Airflow, NiFi i and Hadoop Tools.
• Implements monitoring and measurement of data quality as defined by business rules.
• Ensures adherence to architectural governance standards and practices.
• Develops best practices, standards of excellence, and guidelines for programming teams.
• Ensures compliance to the DevSecOps practice.
• Conducts System Testing - execute job flows, investigate system defects, resolve defects and document results
• Provides a level of effort estimates for new initiatives and change controls in order for projects to be evaluated, budgeted and tracked for success.

Minimum Qualifications

• Total Data Engineering experience - 7- 8yrs and above
• Skilled in Python (at least 4/5 rating), SQL (at least 3/5 rating)
• Working or has experience working on modern data cloud platforms (Databricks/Snowflake)
• With exposure to cloud services (preferably Azure or AWS)
• Willing to work on a hybrid work set up in BGC Taguig