We are looking for a Senior Cloud Data Engineer with 812 years of strong experience in designing enterprise-grade data platforms on AWS / GCP / Azure. The candidate must have hands-on expertise in building scalable data lakes real-time streaming systems and cloud-native analytics solutions.
Location: Mumbai Pune Bangalore
This role requires architecture-level thinking along with hands-on implementation capability.
Key Responsibilities
- Design and architect end-to-end cloud data platforms
- Build scalable ETL/ELT pipelines (batch real-time)
- Lead migration from on-premise to cloud data platforms
- Design data lakes lakehouse and warehouse architectures
- Implement data governance security and compliance policies
- Optimize performance and cost across cloud services
- Mentor junior data engineers
- Work closely with Business BI and ML teams
- Implement CI/CD for data pipelines
Cloud Expertise (At Least One Required)
AWS Stack
Strong experience with:
- Amazon Web Services
- Amazon S3
- AWS Glue
- Amazon Redshift
- Amazon EMR
- AWS Lambda
- Amazon Kinesis
GCP Stack
Strong experience with:
- Google Cloud Platform
- BigQuery
- Cloud Storage
- Dataflow
- Dataproc
- Pub/Sub
Azure Stack
Strong experience with:
- Microsoft Azure
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake
- Azure Databricks
- Azure Event Hubs
Technical Skills
- Advanced SQL & Data Modeling (Star/Snowflake Data Vault)
- Python / PySpark (strong hands-on)
- Apache Spark (cluster tuning & optimization)
- Airflow / Orchestration tools
- Real-time streaming architecture
- CI/CD (GitHub Actions / Azure DevOps / Jenkins)
- Docker & Kubernetes
- REST API integrations
- Data Quality & Monitoring frameworks
Mandatory Experience
- 812 years in Data Engineering
- Minimum 35 years in Cloud Data Platforms
- Experience in handling TBPB scale datasets
- Experience designing Data Lakes & Warehouses
- Strong understanding of IAM & security controls
- Exposure to DevOps & Infrastructure as Code
Good to Have
- Cloud Certification (AWS/GCP/Azure Professional level)
- Experience in Banking / FinTech / Healthcare domain
- Experience with Lakehouse architecture
- Experience with ML data pipelines
Soft Skills
- Leadership capability
- Stakeholder management
- Excellent communication skills
- Solution-oriented mindset
Remote Work :
No
Employment Type :
Full-time
We are looking for a Senior Cloud Data Engineer with 812 years of strong experience in designing enterprise-grade data platforms on AWS / GCP / Azure. The candidate must have hands-on expertise in building scalable data lakes real-time streaming systems and cloud-native analytics solutions.Location:...
We are looking for a Senior Cloud Data Engineer with 812 years of strong experience in designing enterprise-grade data platforms on AWS / GCP / Azure. The candidate must have hands-on expertise in building scalable data lakes real-time streaming systems and cloud-native analytics solutions.
Location: Mumbai Pune Bangalore
This role requires architecture-level thinking along with hands-on implementation capability.
Key Responsibilities
- Design and architect end-to-end cloud data platforms
- Build scalable ETL/ELT pipelines (batch real-time)
- Lead migration from on-premise to cloud data platforms
- Design data lakes lakehouse and warehouse architectures
- Implement data governance security and compliance policies
- Optimize performance and cost across cloud services
- Mentor junior data engineers
- Work closely with Business BI and ML teams
- Implement CI/CD for data pipelines
Cloud Expertise (At Least One Required)
AWS Stack
Strong experience with:
- Amazon Web Services
- Amazon S3
- AWS Glue
- Amazon Redshift
- Amazon EMR
- AWS Lambda
- Amazon Kinesis
GCP Stack
Strong experience with:
- Google Cloud Platform
- BigQuery
- Cloud Storage
- Dataflow
- Dataproc
- Pub/Sub
Azure Stack
Strong experience with:
- Microsoft Azure
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake
- Azure Databricks
- Azure Event Hubs
Technical Skills
- Advanced SQL & Data Modeling (Star/Snowflake Data Vault)
- Python / PySpark (strong hands-on)
- Apache Spark (cluster tuning & optimization)
- Airflow / Orchestration tools
- Real-time streaming architecture
- CI/CD (GitHub Actions / Azure DevOps / Jenkins)
- Docker & Kubernetes
- REST API integrations
- Data Quality & Monitoring frameworks
Mandatory Experience
- 812 years in Data Engineering
- Minimum 35 years in Cloud Data Platforms
- Experience in handling TBPB scale datasets
- Experience designing Data Lakes & Warehouses
- Strong understanding of IAM & security controls
- Exposure to DevOps & Infrastructure as Code
Good to Have
- Cloud Certification (AWS/GCP/Azure Professional level)
- Experience in Banking / FinTech / Healthcare domain
- Experience with Lakehouse architecture
- Experience with ML data pipelines
Soft Skills
- Leadership capability
- Stakeholder management
- Excellent communication skills
- Solution-oriented mindset
Remote Work :
No
Employment Type :
Full-time
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