Lowongan Kerja Jakarta Raya Posisi Data Engineer di Sribuu.id

Info Loker

Perusahaan	Sribuu.id
Posisi	Data Engineer
Tempat	Jakarta Raya
Tingkatan Kerja	Tidak Terspesifikasi
Kualifikasi	Tidak terspesifikasi
Jenis Pekerjaan	Full Time
Spesialisasi Dibutuhkan	Bangunan/Konstruksi, Properti/Real Estate
Gaji Min	Rp. 1.800.000
Gaji Max	Rp. 5.500.000

Job description & requirements

The Analytics Team

We aim to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what’s best for your customers.

The Role

We are looking for experienced data scientists to create an AI-driven personal finance application. You’ll be heavily involved in ideation, research, building prototypes, and production, and be an integral part of the team.

Responsibilities

• Design, implement, and manage end-to-end data pipelines (ETL, data streaming, and warehousing) to ensure data is easily accessible for analysis
• Create and maintain data warehouses for reporting, analysis, and easy exploration
• Enable Data Science teams to test and productionize various ML models
• Integrate with third-party APIs for accessing external data
• Consult and partner with engineering and product teams to execute data-related product initiatives
• Evaluate existing tools/solutions for every new use case and build one if necessary
• Obsess security by ensuring all the components, from a platform, frameworks to the applications are fully secure and are compliant by the group’s infosec policies.

Requirements

• Graduate of BS/BA Computer Science, Information Technology, Statistics, Mathematics, Operations Research, or other related courses
• Ability to write clean and structured in SQL, bash scripts, and Python (or similar languages)
• Solid understanding of database technologies
• Experience in building automated, scalable, and robust data processing systems
• Experience with data warehouse systems (e.g. Redshift/Bigquery) and batch/semi-online building blocks (e.g. MapReduce, Spark)
• Experience in working with large scale quantitative data
• Ability to quickly resolve performance and systems incidents
• ≥ 2 years experience in Data Engineering Role
• Highly motivated, structured, and methodical with a high degree of initiative
• Ability to deliver on tight timelines and move quickly with cross-functional teams to execute on decisions while maintaining attention to detail

Skills

• SQL
• Python
• Data Warehouse
• Spark

Culture

At *********, we are fast paced, energetic, innovative, adaptable and progressive.

Benefits and perks of working with us include:

Compensation: Transportation reimbursement
Lifestyle: Casual dress code, Work-from-anywhere

About the company
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