Data Engineer Manager

twentysixLokasi: Indonesia

Manajer
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Tentang lowongan

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.**The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?**As a Data Engineer Manager, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

  • Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.

  • Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.

  • Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.

  • Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.

  • Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

  • Mentor and guide engineers, fostering knowledge sharing and best practices.

What we are looking for?

  • 8+ years of industry experience in data engineering.

  • Proficiency in Python, SQL, and database management.

  • Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.

  • Data modelling and modern data platform design concepts

  • Building and maintaining data platforms in Azure/AWS or GCP

  • Experience working with business stakeholders either internally or externally

  • Excellent communication skills to collaborate effectively within teams and with stakeholders.

  • Strong business acumen with an interest in business-facing roles.

  • Adaptability and a start-up mentality to thrive in a dynamic environment.

  • Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

  • Already have authorization to work and already working in the market

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.**Action: **We make things rather than telling people how to make them.**Collaboration: **We believe in bringing talented people together, winning together, and in learning from each other.

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Keahlian

  • ai
  • analytics
  • AWS
  • Azure
  • backbone
  • cloud
  • data-engineering
  • data-governance
  • data-modeling
  • data-pipelines
  • etl
  • Google Cloud
  • Kafka
  • machine-learning
  • Python
  • Apache Spark
  • SQL