SalaryPeak

Data Engineer - CY

DCI CONSULTANTS PRIVATE LIMITED
Singapore 2+ years Posted Jan 21, 2026

Salary Range

SGD 60,000 - SGD 72,000 /year

SGD 5,000 - SGD 6,000/month

Apply on MyCareersFuture

Skills Required

AzureBig DataData ModelingPipelinesData StructuresHadoopSoftware EngineeringMySQLData IntegrationEMRSQLPythonJavaApacheData WarehousingDatabases

Job Description

Key Responsibilities:

Develop, construct, test, and maintain scalable data systems, pipelines, and architectures (data lakes, warehouses).

Collect raw data from various sources, clean it, and transform it into usable formats (ETL/ELT).

Work with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.

Improve existing data frameworks, monitor workflows, and troubleshoot issues.

- Implement data governance, validation, and security measures.



Qualifications & Skills:

Education: Polytechnic Diploma or bachelor’s degree in computer science, Data Analytics, Business Intelligence or any related field (or equivalent experience).  

Experience

Programming: Strong Python and SQL skills are fundamental, with Java/Scala useful for big data.

Databases: Experience with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB).

Cloud Platforms: Proficiency in major cloud providers (AWS, Azure, GCP) for data services (S3, Redshift, EMR, etc.).

Big Data: Working knowledge of tools like Apache, Spark, Kafka, and Hadoop.

ETL/ELT: Designing and implementing data extraction, transformation, and loading processes.

Data Warehousing: Concepts and tools for storing large datasets (e.g., Redshift, Snowflake).

Orchestration: Tools like Apache Airflow for scheduling and managing workflows.

Data Modeling: Designing efficient database and data warehouse schemas.



Technical Skills

Programming: Python, Java, SQL (essential).

Databases: Relational (SQL) & NoSQL databases.

Big Data Tools: Hadoop, Spark (often).

Cloud Platforms: AWS, Azure, GCP (increasingly common).

- ETL/ELT Tools: Expertise in data integration tools.

Software Engineering: Strong understanding of data structures and algorithms.



Soft Skills:  

- Strong analytical and problem-solving abilities.  

- Good communication skills to collaborate with non-technical teams.  

- Eagerness to learn and adapt in a fast-paced environment

- Open to learn new software or BI tools in the market.


Nice to Have

- Experience with BI or Reporting tools (publishing, scheduling, permissions).  

- Knowledge of GitHub, GitLab

- Knowledge of SDLC & DDLC

- Understanding of Agile/Scrum methodologies.


Working Location : West

**We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**