Full Stack Data Engineer

• 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.

• • 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.