Data Engineer, LLM, ML, GenAI Apps

Assurity Trusted Solutions Pte Ltd

. Design, build, and maintain robust ETL/ELT pipelines using Databricks (PySpark, SQL) on AWS-based data platforms .

Posted 9/29/2026contractSingapore • SingaporeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining ETL/ELT pipelines using Databricks and AWS services, while ensuring data security and compliance. Proficient in data modeling, BI tool integration, and operationalizing AI models to deliver scalable engineering solutions.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentDatabricks (PySpark, SQL)AWS Services (S3, Glue, Lambda, Redshift, Athena)Data Modeling and Warehouse DesignTableau or BI Tool Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentDatabricksPySparkSQLAWS ServicesData ModelingTableauPythonAPI DesignData Orchestration

Soft Skills

Problem-SolvingCommunicationDocumentation

Tools & Technologies

DatabricksTableauAWSAirflowDbtGit

Industry Keywords

Data EngineeringData SecurityComplianceGenAIMLLLM Applications

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSETLPySparkPythonSparkSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain robust ETL/ELT pipelines using Databricks (PySpark, SQL) on AWS-based data platforms
Develop and optimize data models and tables to support BI tools such as Tableau and internal reporting use cases
Work with data scientists and AI engineers to operationalize GenAI models, including orchestrating data dependencies, prompt stores, and inference pipelines
Implement monitoring, version control, and quality standards across ETL workflows and data schemas
Collaborate with business teams to translate data requirements into scalable engineering solutions
Ensure data security and compliance with organizational and regional guidelines

Requirements

What you’ll need

3+ years of experience in data engineering or a similar technical role
Strong experience with Databricks, Spark (PySpark/SQL), and AWS services (S3, Glue, Lambda, Redshift, Athena)
Solid understanding of data warehouse design, data modeling, and performance tuning
Hands-on experience with Tableau or other BI/reporting tools
Familiarity with ML, GenAI or LLM applications, such as deploying models via API, integrating embedding stores, or managing text/chat pipelines
Proficient in Python and strong understanding of version control (Git)
Knowledge of API design, data orchestration (Airflow, dbt), and CI/CD practices
Excellent problem-solving, communication, and documentation skills

Benefits

Comp & perks

An attractive yearly training budget
Annual performance bonus
Contract Staff enjoys the same benefits as Permanent Employees