Junior/Senior Data Engineer (Permanent Role)

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A data solutions company in Singapore is seeking a professional to collaborate with stakeholders on data-related technical issues and to design, develop, and maintain data management solutions. Candidates should have expertise in relational and NoSQL databases, proficiency in big data technologies, and strong scripting skills. Interested candidates are encouraged to email their resumes for immediate processing.

Qualifications

• Expertise in relational, non-relational, and NoSQL databases.
• Experience in big data technologies like Hadoop and Spark.
• Skilled in scripting and programming in languages like Python and Java.

Responsibilities

• Collaborate with stakeholders on data-related technical issues.
• Design and maintain data models and ETL processes.
• Support data management solutions pre-sales and post-sales.

Skills

Database expertise

Big data technologies

Scripting and programming

Data lifecycle management

Data quality assurance

Tools

Hadoop

Spark

Kafka

Python

SQL

Job description

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

(EA Reg No: 20C0312)

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [e-mail] for immediate processing.