Data Engineer - Data Brick / AWS Cloud

PATH INFOTECH PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading tech company in Singapore seeks an experienced data engineer with at least 5 years' expertise in data warehousing and analytics. The successful candidate will have strong skills in AWS cloud services, Databricks, and various database technologies. You will design data solutions, optimize ETL processes, and work collaboratively within cross-functional teams. Familiarity with data governance, machine learning principles, and strong problem-solving abilities are essential for success in this role.

Qualifications

• Minimum 5 years of experience in data warehousing, big data, or advanced analytics solutions.
• Expertise in data repository design and proficiency in data query techniques.
• Strong knowledge of AWS cloud services and experience in building ETL/ELT workflows.

Skills

Data warehousing

Big data technologies

Advanced analytics

Database management

Cloud services

Data visualization

DevOps practices

Problem-solving

Education

Degree/Master’s in Computer Science or equivalent

Tools

AWS Glue

Databricks

Power BI

SQL

Terraform

Job description

Education & Experience:

• Degree/Master’s in Computer Science, InformationTechnology, Computer Engineering, or equivalent.
• Minimum 5 years of experience in data warehousing, bigdata, or advanced analytics solutions.

Technical Skills: Databases & DataManagement:

• Experience with databases (e.g., Oracle, MS SQL, MySQL, Teradata, Databricks).
• Expertise in data repository design (e.g., operational datastores, data marts, data lakes).
• Proficiency in data query techniques (e.g., SQL, NoSQL, Spark SQL).
• Hands-on experience with Databricks (Delta Lake, MLflow, Spark).
• Experience with Informatica Data Management Cloud (IDMC) for data integration, transformation, and governance.

Cloud Data & Analytics:

• Must-have: Strong knowledge of AWS cloud services (e.g., AWS Glue, Redshift, S3, Lambda, Kinesis, Athena, EMR).
• Experience in building and optimizing ETL/ELT workflows using AWS native tools, Databricks, or IDMC.
• Understanding of event-driven architectures and microservices.

Data Analytics & Machine Learning:

• Data modeling experience (e.g., Star Schema, Snowflake Schema).
• Experience in data visualization tools (e.g., Power BI, Tableau).

DevOps & Security:

• Infrastructure as Code (IaC): Terraform, CloudFormation.
• CI/CD & DevOps best practices for data pipelines and cloud infrastructure.
• Identity and Access Management (IAM), security best practices, and data governance.

Soft Skills:

• Strong problem-solving and critical thinking skills.
• Ability to communicate complex technical solutions to non-technical stakeholders.
• Proven experience in working with cross-functional teams and managing multiple stakeholders.
• Healthcare data governance and compliance knowledge is a plus.

Certifications (Preferred but not mandatory)

• AWS Certified Solutions Architect – Associate or Professional.
• Databricks Certified Data Engineer.