Data Engineer supporting data pipelines for business insights and GenAI applications at Assurity Trusted Solutions. Collaborating with teams on data workflows in a hybrid environment.
Responsibilities
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
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
A wholly-owned subsidiary of GovTech.
We promote a learning culture and encourage you to grow and learn.
Contract Staff enjoys the same benefits as Permanent Employees.
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