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.

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Full Stack Data Engineer