Full Stack Data Engineer

Ecs Me; Hyderabad City Taluka; Sur place; PKR 1 800 000 - 2 400 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

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

Formation

Bachelor’s degree in CS/DS/IS

Master’s preferred

Outils

Snowflake

DBT

SnapLogic

Terraform

CloudFormation

Git / GitHub Actions / Jenkins

Docker / Kubernetes

Kafka / Kinesis / Apache Airflow

Description du poste

Job Summary

We are seeking a Senior Full-Stack Data Engineer to design, develop, and manage scalable data pipelines, storage, and transformation solutions. The role involves working on cloud-based data platforms, data warehouse / lakehouse design, workflow automation, and data integration to support business intelligence and analytics. The ideal candidate will have strong expertise in Snowflake, DBT, and modern data technologies with a focus on performance, security (especially data segregation policies), governance, and automation.

Must-Have Skills (Mandatory)

• Proven expertise in Snowflake and DBT (hands-on experience required).
• Experience with Snaplogic, ETL/ELT pipelines, APIs, and data integration.
• Strong knowledge of data modeling, architecture, and pipeline optimization.
• Expertise in cloud platforms (AWS/Azure/GCP) and automation (Terraform, CloudFormation).
• Advanced SQL and Python programming skills.
• Hands-on experience with CI/CD tools (Git, GitHub Actions, Jenkins) and containerization (Docker, Kubernetes).
• Knowledge of real-time & batch processing (Kafka, Kinesis, Apache Airflow).
• Proven ability to implement data segregation policies, security (IAM, VPN, Encryption), and compliance (GDPR, CCPA).

Good-to-Have Skills (Optional)

• Experience with workflow orchestration tools like Dagster or Prefect.
• Background in data governance frameworks and metadata management.
• Exposure to Agile delivery methodologies (Scrum, Kanban).
• Strong stakeholder collaboration skills for both technical and business discussions.

Qualifications & Experience

• Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field (Master’s preferred).
• Experience: 5–7 years in Data Engineering, Analytics Engineering, or related fields.
• Proven track record in designing, developing, and maintaining large-scale, cloud-based data platforms and pipelines.
• Strong problem-solving, analytical, and proactive mindset with an aptitude for continuous learning.
• Ability to manage projects efficiently while collaborating across multiple teams and stakeholders.