Data Engineer
Esha Parama TechnologyJakarta, Indonesia
Posted January 5, 2026
Full Time
About the Company
Esha Parama Technology is a dual-headquartered IT consulting and recruitment firm operating in Indonesia and India, specializing in both IT and non-IT talent placement for high‑profile clients across finance, insurance, automotive, aerospace, manufacturing, healthcare, engineering, energy, utilities, and oil & gas. Leveraging a global network of highly skilled professionals, the company delivers end‑to‑end solutions—including RPO, contract and permanent placement, IT consulting, and training—while maintaining a 97% project completion rate. Its core value proposition centers on trust, honesty, and transparency, enabling flexible, client‑centric strategies that adapt to evolving business needs. This commitment to quality and long‑term partnership sets Esha Parama Technology apart in the competitive talent services market.
Job Description
Design, build, and maintain scalable and efficient ETL/ELT data pipelines using a variety of tools and technologies, and collaborate with business intelligence professionals to ensure data is structured for optimal performance in reporting and analytics.
Requirements
- At least 2 years of professional experience as a Data Engineer or in a similar role.
- Proven experience with building and managing data pipelines and data warehouses.
- Strong proficiency in SQL and experience with database design and optimization.
- Experience with a modern cloud data warehouse platform, preferably Snowflake.
- Knowledge of and experience with BI tools like Sigma Computing, Tableau, Looker, or Power BI.
- Familiarity with programming languages such as Python or Java for scripting and automation.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
- Excellent problem-solving skills and a strong attention to detail.
- Ability to work effectively with cross-functional teams and communicate complex data concepts to non-technical stakeholders.
- Passion for creating robust and scalable data solutions and a commitment to data quality.
