Data Engineer

Posted 14 Days Ago
Be an Early Applicant
Singapore
In-Office
Senior level
Information Technology • Consulting
The Role
The Senior Data Engineer develops and maintains scalable data infrastructure and pipelines, ensuring data quality and accessibility for data-driven decision-making.
Summary Generated by Built In

The Senior Data Engineer plays a critica role in designing, developing, and maintaining scalable data infrastructure and pipelines. This position supports data-driven decision-making across the organization by ensuring data quality, accessibility, and performance.

Roles and Responsibilities

  • Data Pipeline Development: Design, build, and maintain robust, scalable data pipelines using tools like Apache Airflow, Kafka, and Spark.
  • Data Architecture: Develop and optimizedata models, data warehouses, and ETL processes to support analytics and machine learning initiatives.
  • Collaboration: Work closelywith data scientists, analysts, and software engineers to understand data requirements and deliver tailored solutions.
  • Data ǪualityG Governance: Ensure data integrity, implement validation checks, and enforce data governance policies.
  • Performance Optimization: Monitor and improvedata processing speed,system uptime, and query performance.
  • Leadership G Mentorship: Guide junior engineers, promote best practices, and foster a culture of continuous learning.
  • Innovation G Research: Stay updated with emerging technologies in AI, automation, and data streaming; lead initiatives to integrate them into existing systems.

Profile

  • Bachelor's or Master's in computer science, data science, information technology, or a related field, with 6+ years of experience.
  • Proficiency in SǪL, Python, and ETL/ELT tools
  • Experience in Microsoft solutions are as follows:
  • Azure Data Factory
  • Microsoft Fabric
  • Azure Synapse Analytics
  • Azure Databricks
  • Power BI
  • Azure SǪL Database/ SǪL Server
  • Azure Purview
  • Experience with big data technologies (Hadoop, Spark)
  • Familiarity with cloud platforms(Azure, AWS, and GCP)
  • Strong understanding of data modelling, data warehousing, and stream processing
  • Knowledge of data security, compliance, and governance
  • Knowledge of CI/CD pipelines using Azure DevOps
  • Understanding of data security and compliance(e.g., GDPR, HIPAA)

Top Skills

Apache Airflow
AWS
Azure Data Factory
Azure Databricks
Azure Devops
Azure Purview
Azure Sql Database
Azure Synapse Analytics
Ci/Cd
ETL
GCP
Hadoop
Kafka
Microsoft Fabric
Power BI
Python
Spark
SQL
SQL Server
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The Company
HQ: Jersey City, New Jersey
2,831 Employees
Year Founded: 1999

What We Do

VISEO uses technology as a powerful lever of transformation and innovation to help its clients take advantage of digital opportunities, address new usages and compete with new players who change the rules of the game.

With 2,700 employees working on 5 continents, VISEO combines agility and complementarity of its areas of expertise – design of new products and services, digitization of business processes, data valuation, digital assets development - to make digital a real lever of competitiveness and performance.

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