Technical Architect @ Atos

Role Overview:-
The Senior Tech Lead - GCP Data Engineering leads the design, development, and optimization of advanced data solutions. The jobholder has extensive experience with GCP services, data architecture, and team leadership, with a proven ability to deliver scalable and secure data systems.

Responsibilities:-

• Lead the design and implementation of GCP-based data architectures and pipelines.
• Architect and optimize data solutions using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
• Provide technical leadership and mentorship to a team of data engineers.
• Collaborate with stakeholders to define project requirements and ensure alignment with business goals.
• Ensure best practices in data security, governance, and compliance.
• Troubleshoot and resolve complex technical issues in GCP data environments.
• Stay updated on the latest GCP technologies and industry trends.

Key Technical Skills & Responsibilities

• Overall 10+ Yrs of experience with GCP and Data Warehousing concepts; Coding; reviewing; testing and debugging
• Experience as architect on GCP implementation/or migration data projects.
• Must have understanding of Data Lakes and Data Lake Architectures, best practices in data storage, loading, retrieving data from data lakes.
• Experience in develop and maintain pipelines in GCP platform, understand best practices of bringing on-prem data to the cloud. File loading, compression, parallelization of loads, optimization etc.
• Working knowledge and/or experience with Google Data Studio, looker and other visualization tools
• Working knowledge in Hadoop and Python/Java would be an added advantage
• Experience in designing and planning BI solutions, Debugging, monitoring and troubleshooting BI solutions, Creating and deploying reports and Writing relational and multidimensional database queries.
• Any experience in NOSQL environment is a plus.
• Must be good with Python and PySpark for data pipeline building.
• Must have experience of working with streaming data sources and Kafka.
• GCP Services - Cloud Storage, BigQuery , Big Table, Cloud Spanner, Cloud SQL, DataStore/Firestore, DataFlow, DataProc, DataFusion, DataPrep, Pub/Sub, Data Studio, Looker, Data Catalog, Cloud Composer, Cloud Scheduler, Cloud Function

Eligibility Criteria:

• Bachelors degree in Computer Science, Data Engineering, or a related field.
• Extensive experience with GCP data services and tools.
• GCP certification (e.g., Professional Data Engineer, Professional Cloud Architect).
• Experience with machine learning and AI integration in GCP environments.
• Strong understanding of data modeling, ETL/ELT processes, and cloud integration.
• Proven leadership experience in managing technical teams.
• Excellent problem-solving and communication skills.