Senior/Lead Data Engineer

ABOUT CLIENT

Our client is a global technology company that specializes in providing innovative IT solutions for the financial services industry

JOB DESCRIPTION

Implement technical infrastructure for compliance initiatives such as SOC 2 and GDPR, including building systems for a future data catalog and managing data access.
Design and develop scalable data pipelines for batch and event-driven data ingestion to facilitate real-time analytics and machine learning feature capabilities.
Establish foundational patterns for data quality monitoring, including automated freshness and integrity checks for critical data assets to enhance trust and reliability in the data.
Proactively lead the migration of analytical workloads from a shared production cluster to a scalable cloud data warehouse, such as Snowflake.

JOB REQUIREMENT

At least 7 years of experience in data engineering, emphasizing the construction and management of core data platforms.
Specialization in Modern Data Warehousing: Proven expertise in designing, constructing, and maintaining robust and scalable data warehouses such as Snowflake, BigQuery, or Redshift.
Proficiency in Event-Driven Architectures: Hands-on experience with real-time data processing technologies and patterns (e.g., Kafka, Kinesis, Flink, Spark Streaming).
Extensive Knowledge of Database Operations: Strong comprehension of database performance tuning, monitoring, disaster recovery, and the operational considerations of large-scale data systems.
Experience with Data Governance & Compliance: Hands-on involvement in creating technical solutions to meet compliance requirements like SOC 2 or GDPR, including data access controls and cataloging.
Pragmatic Problem-Solving Skills: Demonstrated ability to select appropriate solutions without over-engineering, while ensuring robustness in a startup environment. Proficiency in SQL and Python.
AWS Experience: Familiarity with core AWS services used in a platform context (RDS, S3, IAM, Kinesis, etc.). Experience using dbt (Data Build Tool) for data transformations in a production environment is highly desirable.
Infrastructure as Code Experience: Familiarity with tools such as Terraform for managing data infrastructure.
Experience in a Startup Environment: Comfortable working in an ambiguous and fast-paced setting.

WHAT'S ON OFFER

Generous salary package
Additional month's salary
Performance-based bonuses
Access to professional English training
Comprehensive health insurance
Ample annual leave opportunities

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Outsource

Technical Skills:

Data Engineering, Python, AWS

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Job ID:

J00685

Status:

Close

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