Job Description

Key Responsibilities:



Design, develop, and maintain

data pipelines

for batch and real-time data processing. Build and optimize

ETL workflows

to collect, clean, and transform data from multiple sources. Develop and manage

data warehouses, data lakes, and database systems

. Ensure

data integrity, quality, and security

across all platforms. Collaborate with business and analytics teams to design and implement data solutions. Optimize query performance and system scalability for large datasets. Implement

monitoring, alerting, and automation

for data workflows. Integrate data from APIs, streaming sources, and third-party systems. Document data processes, architecture, and data lineage. Stay updated on emerging

data engineering tools and technologies

.

Requirements:



Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field. 5-10 years of experience in

data engineering, data architecture, or related roles

. Strong proficiency in

SQL

and

data modeling

. Hands-on experience with

ETL tools

(e.g., Apache Airflow, Talend, Informatica, AWS Glue). Experience with

big data frameworks

(e.g., Apache Spark, Hadoop). Proficiency in

Python, Scala, or Java

for data processing and automation. Experience with

cloud data platforms

(AWS Redshift, Azure Synapse, Google BigQuery, Snowflake). Familiarity with

data lake and warehouse architectures

. Strong understanding of

data governance, security, and compliance

. Excellent analytical, problem-solving, and communication skills.

Preferred Skills:



Experience with

Kafka, Kinesis, or other streaming technologies

. Knowledge of

NoSQL databases

(MongoDB, Cassandra, DynamoDB). Familiarity with

CI/CD pipelines

for data projects. Experience with

Docker, Kubernetes

, or cloud-native data deployments. * Certifications such as

AWS Certified Data Analytics

,

Google Professional Data Engineer

, or

Azure Data Engineer Associate

are an advantage.

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Job Detail

  • Job Id
    JD1661132
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    SG, Singapore
  • Education
    Not mentioned