Full Stack Data Engineer

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.