Senior Full-Stack Data Engineer | Snowflake & DBT Expert

Ecs Me

Hyderabad City Taluka

On-site

PKR 1,800,000 - 2,400,000

Full time

14 days+

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Job summary

Ecs Me is seeking a Senior Full-Stack Data Engineer to design and manage scalable data pipelines, storage, and transformation solutions on cloud-based platforms. The role emphasizes performance, governance, security, and automation for BI and analytics.

The ideal candidate has Snowflake, DBT, and modern data tech expertise, with hands-on experience in ETL/ELT, data modeling, and CI/CD tooling. Strong collaboration across teams is essential.

Qualifications

  • Bachelor’s degree in a related field, Master’s preferred.
  • 5–7 years in Data or Analytics Engineering.
  • Proven track record building large-scale cloud data platforms and pipelines.
  • Strong problem-solving, analytical mindset and teamwork.
  • Ability to drive projects across multiple teams.

Responsibilities

  • Design, develop, and maintain scalable data pipelines on cloud platforms.
  • Build data storage/lakehouse design and transformations for BI/analytics.
  • Enforce data governance, security, and compliance (IAM, encryption).
  • Collaborate with BI, analytics, and product teams to deliver data solutions.

Skills

Snowflake & DBT
Data integration (ETL/ELT)
Data modeling & architecture
Cloud platforms (AWS/Azure/GCP)
SQL & Python
CI/CD tools & containerization
Real-time & batch processing
Data security & governance

Education

Bachelor’s degree in CS/DS/IS
Master’s preferred

Tools

Snowflake
DBT
SnapLogic
Terraform
CloudFormation
Git / GitHub Actions / Jenkins
Docker / Kubernetes
Kafka / Kinesis / Apache Airflow

Job description

Ecs Me is seeking a Senior Full-Stack Data Engineer to design and manage scalable data pipelines, storage, and transformation solutions on cloud-based platforms. The role emphasizes performance, governance, security, and automation for BI and analytics.

The ideal candidate has Snowflake, DBT, and modern data tech expertise, with hands-on experience in ETL/ELT, data modeling, and CI/CD tooling. Strong collaboration across teams is essential.

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