Data Engineer
2 weeks ago
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 will you be doing?As a Data Engineer, 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 toarchitect 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 dataprocessing and analytics.
What are we looking for?Experience Range:0-2 years: Associate Data Engineer2-3 years: Data Engineer3-5 years: Senior Data Engineer5-8 years: Data Engineer Manager
Technical Skills:
Proficiency in Python, SQL, and database management.
Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling,Spark & Kafka.
Attitude & Soft Skills:
Proven problem-solving skills and a solution-oriented mindset.
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.
Where do you work?Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms
Academic Background:
Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.
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