Senior Data Engineer, Corp-CIA
1 week ago
COMPANY DESCRIPTION
Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.
We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.
Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.
DESIGNATION: Senior Data Engineer, Corp-CIA
RESPONSIBILITIES
PURPOSE OF THIS ROLE
The purpose of the AVP Senior Data Engineer role is to provide strategic leadership in data engineering, overseeing the development and maintenance of data infrastructure, and ensuring the availability, reliability, and performance of data solutions. This position plays a critical role in supporting data-driven decision-making across the organization.
SCOPE OF THE ROLE
The AVP Senior Data Engineer will be responsible for:
Leading the data engineering team and providing technical guidance.
Architecting and optimizing data storage solutions, including data warehouses and data lakes.
Designing data models and overseeing data integration and transformation efforts.
Monitoring and optimizing data infrastructure performance.
Managing and mentoring a team of data engineers.
Collaborating with cross-functional teams to fulfil data requirements.
Ensuring data security, privacy, and compliance with regulations.
KEY RESPONSIBILITIES & CHALLENGES
Key responsibilities include:
Providing strategic direction and technical leadership in data engineering.
Leading the design, development, and deployment of ETL processes and data pipelines.
Integrating data from various sources and transforming it for analytics.
Maintaining data quality and implementing data governance best practices.
Managing and mentoring a team of data engineers for professional growth.
Collaborating with stakeholders to understand and fulfil data requirements.
Documenting data processes, architectures, and best practices.
Challenges in this role may include:
Ensuring data security and compliance in a rapidly evolving regulatory environment.
Optimizing data infrastructure for performance and scalability.
Resolving data-related issues efficiently.
Managing a dynamic team in a fast-paced data environment.
FOUNDATIONAL/LEADERSHIP COMPETENCIES
Strong leadership and team management skills.
Excellent problem-solving and communication skills.
FUNCTIONAL COMPETENCIES
Proficiency in programming languages such as Java, or Scala, SQL, Python.
Extensive experience with ETL tools, data integration, and data transformation.
In-depth knowledge of data storage technologies (relational databases, NoSQL, distributed file systems).
Expertise in data modelling, database design and data warehousing.
Familiarity with data governance, security, and compliance standards.
Experience with big data technologies (e.g., Hadoop, Spark, Hive, Azure, Databricks) is a plus.
Experience in container orchestration framework like Kubernetes is a plus.
Experience in Infrastructure as Code and DevOps, MLOps and DataOps is a plus.
EXPERIENCE
10+ years of proven experience in data engineering, with a focus on building and maintaining data pipelines and data warehouses.
QUALIFICATIONS
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Relevant certifications in data engineering and Cloud computing are advantageous.
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