Nitor
Data Architect
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹2,000,000 – ₹3,500,000 / year
Location:
Pune, Maharashtra, India
Work mode:
Hybrid
Published on:
7 September 2026
What they need
Hi ,
Greetings from Nitor infotech!
I hope this message finds you well. My name is Vignesh, and I'm from TA Team at Nitor. I am reaching out to you because I believe you may be a strong fit for a fantastic job opportunity, we currently have
Please find below the Company Job Description with this mail.
- Skillset: Data Architect Data Engineering, Distributed Systems, GCP Cloud Architecture
- Experience Level: 8+ Years
- Required Skills:
- Strong experience in designing and architecting large-scale data platforms and distributed data processing systems.
- Strong programming experience in Python, with hands-on experience in developing data processing and ETL/ELT pipelines.
- Hands-on experience with Apache Spark/PySpark, Kafka, and distributed data processing.
- Strong understanding of data architecture, data modeling, data integration, ETL/ELT pipelines, and data warehousing.
- Strong knowledge of SQL and NoSQL databases and experience in designing scalable data solutions.
- Strong hands-on experience with GCP cloud services and architecture, including BigQuery, GCS, Pub/Sub, Dataflow, Dataproc, Cloud Run, and Workflows.
- Strong understanding of distributed systems, event-driven architecture, scalability, high availability, and fault-tolerant system design.
- Experience with Docker, Kubernetes, and CI/CD practices.
- Experience in performance tuning and optimization of data pipelines and cloud-based data platforms.
- Strong understanding of cloud security, data governance, access management, and best practices on GCP.
- Excellent problem-solving, stakeholder management, technical leadership, and architecture decision-making skills.
- Good-to-Have Skills:
- Experience with Apache Flink, Airflow, Databricks, or Snowflake.
- Experience with Terraform or other Infrastructure as Code (IaC) tools.
- Exposure to AI/ML data pipelines, GenAI, or Agentic AI solutions.
- Experience with observability and monitoring tools such as Cloud Monitoring, Prometheus, Grafana, ELK, or Splunk.
- GCP Professional Cloud Architect or Professional Data Engineer certification.
- Experience in mentoring teams and driving architecture standards, best practices, and governance.
Regard,
Vignesh
6379146150
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