此职位已关闭，但仍有类似职位开放中。
申请已于2026年11月5日截止。
Senior Data Engineer
IMPACT AI TECHNOLOGIES PTE. LTD.
发布于1 个月前 • 已于2026年11月5日截止
职位描述
岗位职责
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.
Key Responsibilities
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 & Optimization: Optimize 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, containerized 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
Minimum 10 years of relevant experience in Data Engineering
Education: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline
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.
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.
Key Responsibilities
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 & Optimization: Optimize 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, containerized 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
Minimum 10 years of relevant experience in Data Engineering
Education: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline
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.