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Data Engineer

Perusahaan tidak menampilkan gaji
Kontrak · Remote/Dari rumah
Minimal Sarjana (S1)
1 - 3 tahun pengalaman

Persyaratan

Remote/Dari rumah
1 - 3 tahun pengalaman
Minimal Sarjana (S1)

Skills

Python

Data Integration

MongoDB

Data Engineering

Database Systems

ETL

AI Systems

Microsoft SQL Server

Data Processing

Benefit Kerja

Transport Money

Career Path

Loker ini dikelola oleh

DZ
Dini Z

Deskripsi pekerjaan Data Engineer Arvis

Before You Apply

We want to be upfront about how we work. This role moves quickly and trusts you with real ownership. You'll handle ambiguity, juggle multiple priorities, and deliver production-ready work, sometimes as requirements shift mid-week or feedback needs a fast turnaround. We look for people who stay composed under pressure, take full accountability for their work, and hold themselves to a high standard without close supervision.

What We’re Looking For

● 1–3 years of experience in data engineering, database development, or related technical roles.

● Strong command of SQL and experience with both relational and non-relational databases (e.g., MongoDB).

● Proficiency in Python (Java or Scala a plus).

● Hands-on experience with workflow orchestration (Apache Airflow) and cloud data warehouses (BigQuery, Snowflake, or Redshift also relevant).

● Experience building dashboards in BI tools such as Looker Studio.

● Familiarity with cloud platforms (GCP preferred; AWS or Azure also valued); exposure to big data tools (Spark, Hadoop, Kafka) is a plus.

● Tech-savvy, with openness to learning and applying AI tools in daily workflows.

● Ability to manage multiple priorities independently and under pressure, with high attention to detail, personal accountability, and strong problem-solving skills.

Tentang Perusahaan
Arvis
Information Technology and Services
11 - 50 karyawan

An Intelligent data-driven integrated Business Intelligence and Workflow Automation solution platform

Our Mission is to empower businesses with the power of Data, to augment and integrate individuals with powerful data driven systems and elevate performance and results.

Alamat kantor

Jl.Sunter Agung Podomoro Blok N2, No. 9 - 10, Sunter, RT.10/RW.11, Sunter Jaya, Kec. Tj. Daerah Khusus Ibukota Jakarta 14350

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