Job Description

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.