DATA Engineer

DATA Engineer - PUNE

About Role

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 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.

What we are looking for?

Technical Skills:

Proficiency in Python, SQL, and database management.

Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP), 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.

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.