Data Engineer (Cloud Migration Projects)

SYNAPXE PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

A leading company in Singapore is seeking a Data Engineer for cloud migration projects, focusing on AWS and Databricks. The role involves developing ETL processes, optimizing data workflows, and collaborating with cross-functional teams to enhance data availability and integrity. Candidates should have a strong background in data engineering principles and relevant experience in programming, data modeling, and cloud technologies.

Qualifications

• Minimum 4 years of experience in data engineering.
• Familiarity with data governance and compliance.
• AWS and Databricks certifications are a plus.

Responsibilities

• Develop ETL processes utilizing Databricks and Informatica IDMC.
• Monitor data processing and optimize performance in AWS.
• Implement security best practices for data protection.

Skills

Python

Java

Scala

SQL

NoSQL

Data modeling

Problem-solving

Analytical skills

Communication

Collaboration

Education

Bachelor’s or master’s degree in computer science, data engineering, or related field

Tools

AWS

Databricks

Informatica IDMC

Job description

Position Summary / Project Description

Data Engineer for cloud migration projects (Primarily utilizing AWS, IDMC, Databricks and Tableau)

Role and Responsibilities

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 4 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications, Databricks certifications, and Informatica certifications are a plus.