hirly

Artefact

Data Engineer (GCP, Azure)

Pune, Maharashtra, India

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Artefact first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included
Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
10 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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, 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.

What we are looking for?

Proficiency in Python, SQL, and database management.

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

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.

Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.

Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.

Original posting on Artefact's site ↗

Listed on hirly, a job board. hirly is not the employer: Artefact is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job