Data Engineer

White Glove Hiring; Jakarta Pusat; On-site; IDR 167,400,000 - 312,480,000; Full time

Benefits offered by this job

Medical Insurance (Individual Gold -Ad

Paid Leave 12 days/year

Laptop untuk bekerja

Otentikasi & Keamanan Data

Job summary

White Glove Hiring membutuhkan Data Engineer berpengalaman untuk memelihara skrip Python, membangun pipeline ETL/ELT, dan mengoptimalkan SQL untuk skala besar pada lingkungan data lintas sistem.

Peran ini menuntut kemampuan transformasi data dari format tidak terstruktur menjadi format analitik yang siap dipakai, kolaborasi lintas tim, dan fokus pada kualitas data serta dokumentasi proses.

Qualifications

• Pengalaman 1–5 tahun di Data Engineering atau peran terkait data.
• Menguasai Python untuk membaca, menganalisis, dan meningkatkan kode pemrosesan data.
• Memiliki pemahaman ETL/ELT, integrasi data, dan orkestrasi workflow.

Responsibilities

• Menganalisis, memahami, dan memelihara skrip Python untuk ekstraksi, transformasi, dan otomasi data.
• Merancang dan mengembangkan proses transformasi data untuk menjadikan data tidak terstruktur menjadi terstruktur untuk analitik.
• Mengelola ETL/ELT dan menjaga konsistensi serta keandalan data antar sumber.

Skills

Python

SQL

Analitik

Komunikasi

Pembelajaran mesin & otomasi

Education

Sarjana

Tools

Azure Data Factory

dbt

Job description

DESKRIPSI PEKERJAAN

Job Description:

• Analyze, understand, and maintain existing Python-based scripts used for data extraction, transformation, and automation processes across various systems.
• Design and develop robust data transformation processes to convert unstructured and semi-structured data (such as JSON, XML, log files, and API responses) into structured, tabular datasets for reporting and analytics purposes.
• Build, manage, and optimize ETL/ELT workflows, ensuring data consistency, integrity, and reliability across multiple data sources and destinations.
• Develop scalable data models and transformation logic to support downstream analytics, reporting, and operational use cases.
• Monitor data pipelines proactively, identify bottlenecks or failures, and troubleshoot issues to minimize downtime and ensure smooth data operations.
• Collaborate with data analysts, business stakeholders, and engineering teams to gather requirements and implement efficient data solutions aligned with business needs.
• Optimize SQL queries and database performance for large-scale data processing, including managing joins, aggregations, indexing strategies, and granularity handling.
• Implement best practices in data quality validation, error handling, logging, and documentation to maintain high standards in data engineering workflows.
• Support continuous improvement initiatives by identifying opportunities to enhance existing pipelines, tools, and data infrastructure.

Job Details:

• Willing to working on-site
• PKWT Contract (extendable)
• BPJS (TK, KK), THR (1x), Bonus (1x), Yearly Income (14x)
• Medical Insurance (Individual Gold - AdMedika)
• Paid Leave (12 days/year)
• Laptop for working
• Overtime Pay (if any)

KUALIFIKASI MINIMUM

Requirements:

• 1–5 years of experience in Data Engineering, ETL development, or related data-focused roles.
• Strong proficiency in Python, with proven ability to read, analyze, and enhance existing codebases for data processing and automation.
• Hands‑on experience in transforming unstructured or semi‑structured data into structured formats suitable for analytics and reporting.
• Solid understanding of ETL/ELT concepts, data integration techniques, and workflow orchestration.
• Strong SQL expertise, including complex joins, query optimization, data granularity management, and performance tuning.
• Experience with Azure Data Factory (ADF) for building and orchestrating data pipelines is highly preferred.
• Familiarity with dbt (data build tool) for data transformation and modeling is an advantage.
• Strong understanding of data quality principles, validation processes, and troubleshooting techniques in data pipelines.
• Excellent analytical thinking and problem‑solving skills, with the ability to resolve technical issues efficiently.
• Good communication and collaboration skills, with the ability to work effectively in cross‑functional teams.

RINGKASAN PERKERJAAN

• *SPESIALISASI**: IT and Software
• *PENDIDIKAN MINIMAL**: S1 (Sarjana)
• *SISTEM KERJA**: On‑site
• *TIPE PEKERJAAN**: Full time
• *LOKASI**: Central Jakarta, DKI Jakarta, Indonesia
• *INDUSTRI**: Information Technology / IT
• *SITUS PERUSAHAAN**: http://www.vlinkinfo.com
• *JUMLAH LOWONGAN**: 3 posisi

FASILITAS & BENEFIT

Fasilitas: med_ins, life_ins