Data Engineer

7 days ago

Manila, National Capital Region, Philippines Singlife Philippines Full time

Singlife is a leading homegrown financial services company, offering consumers a better way to financial freedom. Through innovative, technology-enabled solutions and a wide range of products and services, Singlife provides consumers control over their financial wellbeing at every stage of their lives.

In addition to a comprehensive suite of insurance plans, employee benefits, partnerships with financial adviser channels and bancassurance, Singlife offers investment solutions through its dollarDEX and Navigator platforms. The mobile-first Singlife Account – with a Singlife Debit Card – allows customers to save, spend, earn and be insured all in one app.

Singlife is the exclusive insurance provider for the Ministry of Defence, Ministry of Home Affairs and Public Officers Group Insurance Scheme. Singlife is also an official signatory of the United Nations Principles for Sustainable Insurance, affirming its commitment to finding a better way to sustainability.

First announced in September 2020 and valued at S$3.2 billion, the merger of Aviva Singapore and Singlife was the largest insurance deal in Singapore then and created one of the largest homegrown financial services companies in the republic.

Singlife Philippines, headquartered in Manila, is a majority-owned subsidiary of Singlife. The company's vision is to unlock the potential of money for everyone by offering innovative financial solutions that help people manage, grow and protect their money distributed according to their preferences.

Singlife Philippines is hiring a Data Engineer. The Data Engineer will build and maintain data pipelines, optimize data flow, and support data initiatives. This role involves creating reports and dashboards, ensuring optimal data delivery, and collaborating with various departments to support data-driven projects.

Responsibilities:
  • Create and maintain optimal data pipeline architecture.
  • Ensure data adequacy, accuracy, and legitimacy.
  • Monitor, analyze, and evaluate data systems.
  • Troubleshoot data-related issues and provide relevant support for tech infrastructure needs.
  • Collaborate with stakeholders on data infrastructure and pipeline administration.
  • Assemble large, complex data sets for business requirements.
  • Automate processes, optimize data delivery, and redesign infrastructure for scalability.
  • Build infrastructure for data extraction, transformation, and loading using Snowflake, SQL and AWS technologies.
  • Develop analytics tools for actionable insights and optimization.
  • Build reports and dashboards for business teams.
Requirements:
  • 5+ years of experience in data management and a graduate degree in a relevant field.
  • Proficiency in modern database and information system technologies.
  • Advanced SQL knowledge and experience with relational databases.
  • Experience with 'big data' pipelines, architectures, and data sets.
  • Strong analytic skills with unstructured datasets.
  • Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.
  • Proficiency in message queuing, stream processing, and scalable data stores.
  • Experience with relational SQL and NoSQL databases, including Snowflake, Postgres, AWS Redshift, and DynamoDB.
  • Familiarity with data pipeline and workflow management tools like Airflow and Glue.
  • Experience with AWS cloud services and stream-processing systems.
  • Excellent data administration and project management skills.
  • Proficiency in object-oriented scripting languages (Python, Java, C++, Scala, Pyspark).
  • Experience with reporting tools like PowerBI and Tableau.
  • Experience with full system development life cycle (SDLC) and Lean or Agile development methodologies.
  • Critical thinking, problem-solving, and strong communication skills.
Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

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