Lowongan Kerja Data Engineer ID Naluri Terbaru di Indonesia

Info Terbaru Lowongan Kerja Data Engineer ID Indonesia September 2026 di Naluri. Salam Sejahtera bagi sahabat yang sedang berburu pekerjaan. Semoga tidak putus asa untuk mencari pekerjaan yang sesuai dengan spesialisasi Anda. Memang terkadang mencari pekerjaan yang sesuai sangatlah susah di tahun 2026 ini. Pada kesempatan ini admin akan memberikan info Lowongan Kerja Data Engineer ID Indonesia September 2026 di Naluri. Berikut ini info lebih lengkap mengenai Lowongan Kerja Data Engineer ID Indonesia September 2026 Naluri.

Lowongan Kerja Data Engineer ID Indonesia September 2026 Naluri

Berikut ini adalah ketentuan yang harus Anda penuhi untuk mendaftar Lowongan Kerja Data Engineer ID Indonesia September 2026 Naluri yang dibuka pada 10 September 2025 ini:

About Naluri

We are a digital health therapeutics company operating across SEA, focused on the intersection of mental health and physical chronic diseases. We combine behavioural science, psychology, data science and digital design to help companies, healthcare providers, and ultimately, people on achieving a healthier lifestyle.

Visit our website to learn more about us: https://www.naluri.life/

About the Role

We are looking for a proactive and skilled Data Engineer to help build and scale our data infrastructure from the ground up. You will play a key role in designing and developing a modern data warehouse using AWS Redshift and DBT, consolidating multiple data sources into a single source of truth that powers decision-making across the company.

You’ll join a fast-moving team in a startup environment, where autonomy, problem-solving, and a builder mindset are essential.

What You’ll Do

• Design, build, and maintain robust, scalable ETL/ELT pipelines using DBT, Python, and SQL
• Set up and manage a cloud-based data warehouse using AWS Redshift
• Ingest and integrate data from a variety of sources (e.g., APIs, application databases, third-party tools)
• Implement and document data warehouse rules for each layer (staging, intermediate, and reporting)
• Apply data cleaning practices, including handling missing values using appropriate imputation techniques
• Build and enforce data quality validation checks to ensure reliable downstream analytics
• Collaborate with data scientists, analysts, and business stakeholders to translate needs into efficient data models
• Maintain a secure, performant, and cost-effective infrastructure using AWS tools (e.g., S3, Lambda, IAM)
• Write clear, well-maintained documentation for data models, pipelines, and infrastructure

What We’re Looking For

• 3–4 years of experience in data engineering
• Proficiency in SQL for data modeling, transformation, and performance optimization
• Strong experience with AWS services (especially Redshift, S3, Lambda, IAM)
• Hands-on experience with DBT, with an understanding of layer-based modeling and modular design
• Programming experience in Python, especially for data ingestion and transformation
• Familiarity with data cleaning techniques, including strategies for dealing with missing or inconsistent values
• Ability to document and maintain data warehouse rules and logic for transparency and governance
• Comfortable working independently with minimal supervision in a fast-paced startup environment
• Strong attention to detail and a commitment to data integrity and reliability
• Clear communication skills and the ability to work cross-functionally with technical and non-technical stakeholders

Bonus Points For

• Experience with orchestration tools
• Familiarity with data lake architecture and partitioning strategies
• Knowledge of CI/CD for data workflows
• Experience working with event-driven or streaming data
• Familiarity with BI tools like Metabase, Tableau, or Looker
• Understanding of data access controls, compliance, and governance best practices

Why Join Us

• You’ll work on meaningful, high-impact problems across the business
• You’ll shape the company’s data foundation and standards from the ground up
• You’ll be part of a collaborative, ownership-driven culture with room to grow
• You’ll have autonomy and visibility in a supportive, startup-minded environment

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