Data Engineering Leadership Opportunity

4 days ago

Singapore beBeeDataEngineering Full time

Senior Data Engineering Manager Position

The role of Senior Data Engineering Manager entails spearheading the development and implementation of large-scale data engineering projects. This position demands exceptional technical expertise, leadership skills, and ability to collaborate with cross-functional teams.

Key Responsibilities

  • Design and Implement Scalable Data Pipelines

Develop, build, and optimize scalable, reliable data pipelines (batch and streaming) using SQL, Python, and big data technologies. Lead data architecture discussions, including ERDs, data models, and system design.

Cloud & Infrastructure Management

Implement and manage cloud-based data platforms ensuring scalability, reliability, cost efficiency, and security. Deploy and manage infrastructure using Terraform and other IaC tools. Develop and maintain CI/CD pipelines for deploying data applications and services.

Data Quality, Governance & Security

Drive data quality, governance, and compliance across product and business areas. Implement data encryption, hashing, and privacy protection mechanisms. Adhere to Master Data Management (MDM) principles and enterprise data governance policies.

Analytics & Business Impact

Partner with product, engineering, data science, and business teams to deliver business outcomes through data-driven products. Deliver audience and behavioral analytics, KPIs, dashboards, and reporting.

Leadership & Collaboration

Lead a team of data engineers, taking ownership of decisions and deliveries. Mentor and guide engineers in best practices, architecture, and performance optimization. Manage stakeholder relationships, roadmaps, and expectations.

Required Skills & Experience

  • Proficiency in SQL for data modeling, querying, and transformation.
  • Advanced Python development skills for data engineering use cases.
  • Proven experience in AWS services, such as S3, Glue, Lambda, RDS, Lake Formation, Athena, Kinesis, EMR, Step Functions.
  • Expertise in Terraform for infrastructure provisioning.
  • Proficiency in CI/CD tools and Git branching strategies.
  • Hands-on experience with big data technologies, like Spark, Hive, Kafka, Hudi, or Iceberg.
  • Ability to design BI-ready data models and implement BI frameworks.
  • Understanding of data governance, data quality, and security frameworks.

Preferred Qualifications

  • 7+ years of relevant hands-on experience in data engineering, solution architecture, or analytics roles.
  • 5+ years of team leadership or people management experience.
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Experience with BI tools and query engines.
  • Familiarity with Agile methodologies and enterprise-scale data platform implementations.
Unlock Your Potential in Data Engineering
  • Tableau
  • Leadership
  • Scalability
  • Big Data
  • Data Modeling
  • Pipelines
  • Data Quality
  • Data Governance
  • Reliability
  • Data Engineering
  • EMR
  • SQL
  • Python
  • Data Architecture
  • Docker
  • Data Science

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