Lowongan Kerja Data Engineer VIDA Digital Identity Terbaru di Jakarta

Info Terbaru Lowongan Kerja Data Engineer Jakarta Januari 2026 di VIDA Digital Identity. Salam Sejahtera untuk pengunjung setia yang sedang mencari pekerjaan. Semoga tidak nyerah untuk mencari pekerjaan yang pas dengan minat Anda. Memang kadangkala mencari pekerjaan yang cocok sangatlah tidak gampang di tahun 2026 ini. Pada kesempatan ini admin akan memberikan info Lowongan Kerja Data Engineer Jakarta Januari 2026 di VIDA Digital Identity. Berikut ini informasi lebih detail mengenai Lowongan Kerja Data Engineer Jakarta Januari 2026 VIDA Digital Identity.

Lowongan Kerja Data Engineer Jakarta Januari 2026 VIDA Digital Identity

Berikut ini adalah kualifikasi yang harus Anda penuhi untuk mendaftar Lowongan Kerja Data Engineer Jakarta Januari 2026 VIDA Digital Identity yang dibuka pada bulan Januari 2026 ini:

Jakarta, Jakarta Work Type: Full Time
At VIDA we’re building the future of digital identity. As a Data Engineer you’ll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You’ll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. We run on AWS and make extensive use of Scala Spark, dbt, and Terraform.

Responsibilities

• Build and expose the data lake/lakehouse so teams can understand business and product performance and make better decisions.

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  Design and evolve a data platform that enables scientists and analysts to query, model, and ship features and product metrics.
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  Develop scalable and reliable batch and streaming pipelines that ingest from varied sources and land trusted datasets.
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  Maintain and fix existing ETLs, improving reliability, observability, and cost while planning safe backfills and replays.
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  Model curated layers and maintain transformation logic (e.g., dbt), including testing, documentation, and data quality.
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  Build with Infrastructure as Code (e.g., Terraform) and contribute to CI/CD and deployment practices.
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  Partner with Engineering, and Data Science to deliver low-latency signals and features for real-time decisioning.

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  Contribute to internal tools, reusable components, and simple dashboards that unblock self-service.

Requirements

• Solid engineering foundation with 5+ years of relevant experience in data engineering and/or distributed systems.

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  Hands-on work building data pipelines (batch and/or streaming) using at least one distributed framework (e.g., Spark, Kafka, Flink).
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  Comfortable with SQL and a transformation framework (e.g., dbt or similar).
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  Familiarity with AWS services for data (any mix of S3, EMR/Glue, Kinesis/MSK, Lambda, Redshift/Athena) or equivalent cloud experience.
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  Exposure to workflow orchestration (e.g., Airflow).
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  Experience using Terraform (or similar IaC) to manage data/platform resources.

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  Ownership mindset, focus on reliability, and enjoyment of collaborating in a fast-moving environment.

What are we trying to solve?

Billions of people still cannot securely prove their identity. Without it, they’re shut out of education, healthcare, finance, and civic participation. We believe this must change—and that digital identity should be trustworthy, private, and accessible to everyone.

At VIDA, we’re creating a frictionless digital identity system that meets the needs of our time and works anywhere, for everyone.

Why are we solving this problem?

Global initiatives like the UN and World Bank’s ID4D aim to provide legal identity for all by 2030. We expect digital identity to become a basic right, and we want VIDA to help lead that future.

Who are we?

We’re a mission-driven, pragmatic team motivated by real-world impact—from preventing fraud and corruption to unlocking fair access to essential services. If that resonates with you, we’d love to talk.

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