- Home based - Worldwide
#6 - Data Engineer Semi Senior - Databricks
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Deskripsi pekerjaan
2 menit baca🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
We’re looking for a Data Engineer Semi Senior to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀
🚀 What We Do
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions
🌟 Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
🌟 Our Values
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓
- Co-develops batch and streaming pipelines, semantic models, and transformations
on Databricks (Python/Spark).
- Defines and maintains data contracts, quality rules, and data SLOs for each data
product.
- Guides domain teams on data modeling and data product boundaries (what
belongs to which product/domain).
- Trains, mentors and pairs with domain engineers/analysts on data product
ownership and good engineering practices.
- Captures feedback and best practices from domains and feeds improvements back
into platform templates, tooling, and patterns.
Required Skills
- Experience in Data Engineering, including building and optimizing data pipelines
- Experience working with Databricks, Python, and Spark, building batch and streaming
- Basic/Intermediate level of English
- Familiarity with a BI visualization tool like Power BI
Nice to Have Skills 😉
- Hands-on experience with Databricks (Workflows, Jobs, Repos)
- Experience with other cloud providers (AWS, GCP)
- Experience with Kubernetes in production environments
🎁 Perks
- 🌍 Remote-first cultur e – work from anywhere!
- 🚀 In-Company English Lessons
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too
Hitung gaji bersih dalam rupiah
Perkiraan kasar: kurs USD Rp17.800; pajak dihitung sebagai penghasilan orang pribadi (tarif progresif PPh 21, dikurangi PTKP), tanpa NPPN, iuran BPJS, atau potongan lain. Bukan nasihat pajak; cek ketentuan terbaru atau konsultan pajak.
Tips melamar
- Sebutkan lokasi dan zona waktumu di bagian atas CV, mis. Jakarta, Indonesia (GMT+7).
- Sesuaikan ringkasan CV dengan kata kunci di deskripsi, terutama Python, AWS, GCP.
- Tulis hasil kerja dengan angka (mis. "menangani 60 tiket/hari"), bukan hanya tugas.
- Perusahaan resmi tidak pernah meminta biaya untuk melamar atau wawancara.
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