DATA Engineer
Summary
Data Engineer building and maintaining ETL data pipelines with SQL and Python, integrating ML models and working with Spark, Kafka, and cloud services (Azure, GCP) in Pune.
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.