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.
Position: Data Engineer – GCP Required Skills: Python, PySpark, SQL, Airflow, GCP, Bigdata Years of experience: 5+ Years Locations: Gurgaon We are seeking skilled Data Engineers with experience in modern data engineering practices and data modeling. You will leverage your knowledge and experience in programming languages ...
... , Hyderabad , Chennai - Min 8-12 years of hands-on experience in GCP Data Engineering designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record. - Expertise in GCP Data Products e.g. BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer, ...
... and Microsoft Azure) and hybrid environments. This role will design scalable, secure, and high-performing data platforms while partnering with business and engineering leaders to translate strategic objectives into impactful data solutions. A key focus of this role will be spearheading scalable, agent-driven data migration ...
GCP Data Engineer - Python / PySparkExperience : 5.5 - 9 YearsOpenings : 8Role Overview : We are looking for experienced Data Engineers with strong expertise in Python or PySpark, SQL, GCP cloud services, data processing, data warehousing, and data pipelines. The ideal candidate should have hands-on experience with BigQuery, ...
... are looking for an experienced Azure Data Engineer with strong expertise in building data pipelines, working with Azure data services, and developing scalable data processing solutions. The ideal candidate should have hands-on experience with PySpark, Microsoft Fabric, Python/Scala/Java, SQL, and big data https://jobeax.com/link/4tHEKzNNbiVhk26b ...
... are looking for an experienced Azure Data Engineer with strong expertise in building data pipelines, working with Azure data services, and developing scalable data processing solutions. The ideal candidate should have hands-on experience with PySpark, Microsoft Fabric, Python/Scala/Java, SQL, and big data https://jobeax.com/link/4tHEKzNNbiVhk26b ...
... Understanding of data ingestion, transformation, Delta-based storage, and end-to-end data engineering workflows. • Experience migrating or modernizing existing data pipelines on Microsoft Fabric is desirable. 3. Azure Databricks and PySpark • Experience developing scalable data processing solutions using Azure Databricks, ...
Position : Azure Data EngineerLocation : BengaluruExperience : 6 - 13 yrsKey Responsibilities : - Architect and develop end-to-end data pipelines using Azure Data Factory to ensure seamless data integration across disparate source systems.- Optimize complex data processing workflows within Azure Databricks to improve performance ...
... environment of a start-up software company with the stability and reputation that reflects its 27-year history of serving blue-chip industrial customers. As a Data Engineer at Frontline Data Solutions, you will focus on the implementation of our Analytics platform using Fabric to create high-performance report and dashboard ...
Azure Data Engineer – Offshore, India Experience: 8–10+ years Engagement: 3 months Location: Offshore, India Role Summary: We are looking for an experienced Azure Data Engineer to design, develop, and optimize data integration and ETL/ELT pipelines using Microsoft Azure technologies. The resource will work with the CIT ...
Azure Data Engineer Position Description Azure Data Engineer Experience: 8 10 years Location: Bangalore/Chennai Employment Type: Full Time Work Mode: Full Time / 5 days Work From Office/ ODC (Banking client) Job Summary: We are seeking a highly experienced Senior Azure Data Engineer to join our growing data team. In this ...