Senior Data Engineer

1 week ago

Singapore HYPERSCAL SOLUTIONS PTE. LTD. Full time

**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.

**RESPONSIBILITIES**

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.

**Responsibilities**
- 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.
- Ensuring data security, privacy, and compliance with regulations.
- 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.

**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.
- 10+ years of proven experience in data engineering, with a focus on building and maintaining data pipelines and data warehouses.
- 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 with cloud technologies(e.g. Azure) is a plus
- Strong leadership and team management skills.
- Excellent problem-solving and communication skills.

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