Big Data Engineer

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Ascendion

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Hadoop SQL Spark BigQuery CI Analytics ETL

Job Description

Title: Big Data Engineer

Location: Singapore


Job Description:

The vision of Client’s data team is to “Provide an enterprise data lake for all client’s product, operational and analytics needs at lower cost and better quality. Our team ingests and integrates diverse data sources, constructs data warehouses, and crafts data visualizations to drive business insights. We collaborate with stakeholders to address their data needs, supporting daily operations and decision-making.


Client Data team is looking for a seasoned data engineer together with strong analytics skillsets based in Singapore to deliver data pipelines and build BI insight dashboards to fulfil business needs from different functional stakeholders.


As a data engineer you will analyse complex data sets to provide insights that drive business decisions. You will work closely with BSA and stakeholders to understand their data needs, design data model and data solutions and develop data pipelines while on the same time ensuring data security and company policy compliance. Your role will also involve performing data analysis and present business findings to business stakeholders or leadership to power business decisions.


Responsibilities:

  • Understand and analyse complex client's datasets.
  • Collaborate with BSA, domain teams and other stakeholders to gather requirements and translate them into technical solutions, including ETL pipelines and data visualizations.
  • Design, implement, and maintain CI/CD pipelines for data solutions.
  • Build BI dashboards based on business requirements.
  • Ensure data security, governance, and compliance with organizational standards.
  • Troubleshoot and debug data gaps, anomalies, and issues.


Required Skills:

  • 3-8+ years of experience in data engineering or related roles.
  • Experience with big data technologies (e.g., Hadoop, Spark, Hive).
  • Expertise in SQL.
  • Knowledge of data modelling, data warehousing, and ETL design patterns.


Preferred Skills:

  • Experience with cloud platforms (e.g., GCP, Big query).

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