Lead Data Engineer (Teradata/Hadoop)

re-zoo-me; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

re-zoo-me is seeking a Senior Data Engineer to lead the design and delivery of robust data platforms across Teradata, Hadoop/Cloudera, and cloud environments. You will architect scalable pipelines while mentoring the team and driving technical excellence.

You will partner with architects, product teams, DevOps, and business stakeholders to ensure data quality, governance, and production readiness in a regulated banking setting.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline.
• At least 10 years of data-engineering experience with technical leadership in Teradata and Hadoop/big-data delivery.
• Teradata, Cloudera, Databricks, Cloud Data Engineering, or Terraform certifications preferred.
• Core technologies include Teradata, Hadoop/Cloudera, Spark, Hive, Impala, HBase, SQL, Python, Scala/Java, Kafka, Airflow, and Denodo.
• Infrastructure & DevOps: Terraform, Kubernetes/OpenShift, Git, and CI/CD automation tools.
• Domain expertise covers enterprise banking data (Customer, Payments, Risk, Finance, AML, Regulatory Reporting) with focus on data quality, lineage, and historical reconstruction.
• Core competencies include leadership, disciplined delivery in regulated settings, strong communication, and production readiness.

Responsibilities

• Lead the design and implementation of scalable batch, streaming, and API-based data pipelines, historical-data processing, SCD/CDC mechanisms, and semantic-layer data products.
• Optimize complex SQL queries, Spark workloads, partition strategies, and storage frameworks for large-volume processing in regulated banking environments.
• Implement infrastructure-as-code using Terraform and establish automated CI/CD pipelines, containerised deployments, and robust testing standards.
• Drive code reviews, enforce engineering standards, mentor junior engineers, and collaborate with architects, product teams, DevOps, and business stakeholders.

Skills

Technical leadership

Communication skills

Regulated environment experience

Education

Bachelor’s degree in Computer Science or related field

Tools

Teradata

Hadoop/Cloudera

Spark

Hive

Kafka

Airflow

Denodo

Terraform

Kubernetes/OpenShift

Git

CI/CD tools

SQL

Python

Scala/Java

Job description

About the Role

We are seeking a Senior Data Engineer with deep expertise in enterprise data platforms, banking domains, and large-scale data delivery. In this role, you will lead the design and development of robust data pipelines across Teradata, Hadoop/Cloudera, and cloud ecosystems while mentoring engineering talent and driving technical excellence.

What you'll do

• Architecture & Development: Lead the design and implementation of scalable batch, streaming, and API-based data pipelines, historical-data processing frameworks, SCD/CDC mechanisms, and semantic-layer data products.
• Performance & Optimisation: Optimise complex SQL queries, Spark workloads, partition strategies, and storage frameworks for large-volume processing within regulated enterprise banking environments.
• Infrastructure & Automation: Implement infrastructure-as-code using Terraform and establish automated CI/CD pipelines, containerised deployments, and rigorous testing standards.
• Leadership & Collaboration: Drive code reviews, enforce engineering standards, mentor junior engineers, and partner closely with architects, product teams, DevOps, and business stakeholders.

What You Will Need to Succeed

• Education: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline
• Experience: At least 10 years of data-engineering experience, with technical leadership in Teradata and Hadoop/big-data delivery.
• Preferred Certifications: Teradata, Cloudera, Databricks, Cloud Data Engineering, or Terraform
• Core Technologies: Teradata, Hadoop/Cloudera, Spark, Hive, Impala, HBase, SQL, Python, Scala/Java, Kafka, Airflow, and Denodo.
• Infrastructure & DevOps: Terraform, Kubernetes/OpenShift, Git, and CI/CD automation tools.
• Domain Expertise: Enterprise banking data (Customer, Payments, Risk, Finance, AML, and Regulatory Reporting) with a strong focus on data quality, reconciliation, lineage, and historical reconstruction.
• Core Competencies: Demonstrated technical leadership, disciplined delivery in regulated settings, exceptional communication skills, and accountability for production-ready outcomes.