iTroSys - Full Stack Data Engineer - Business Intelligence

Job Summary :

We are seeking a highly skilled Full Stack Data Engineer to design, develop, and manage scalable data pipelines, storage, and transformation solutions.

The role requires deep expertise in cloud-based data platforms, data warehousing, data lakehouse design, workflow automation, and data integration to support business intelligence and advanced analytics.

The ideal candidate will have a strong background in data engineering, cloud technologies, and full-stack software development, with a focus on performance optimization, security (especially data segregation), and automation.

Key Responsibilities :

• Design, build, and maintain scalable and secure data pipelines for analytics and reporting.
• Develop and optimize data warehouse and data lakehouse architectures.
• Implement ETL / ELT processes, data modeling, and API integrations.
• Automate workflows and orchestrations using Airflow, Dagster, or Prefect.
• Ensure data quality, validation, governance, and compliance (GDPR, CCPA).
• Collaborate with cross-functional teams to support data-driven decision-making.
• Manage infrastructure with cloud services (AWS / Azure / GCP) and IaC tools like Contribute to CI / CD pipelines, DevOps practices, and containerization (Docker, Skills Required :
• Data Engineering & Warehousing : Snowflake (must have), DBT (must have), SnapLogic, ETL / ELT, APIs, Data Lakehouse Programming & Scripting : Advanced SQL, Python, DBT, Bash / Shell Cloud & Infrastructure : AWS, Azure, or GCP; Terraform; CloudFormation; Security (IAM, VPN, Data Processing & Orchestration : Kafka, Kinesis, Apache Airflow, Dagster, DevOps & CI / CD : Git, GitHub Actions, Jenkins, Docker, Data Governance & Quality : Data validation, metadata management, compliance with Profile :
• 5+ years of experience in data engineering and cloud platforms.
• Proven track record in end-to-end data pipeline development and automation.
• Strong problem-solving, analytical, and communication skills.
• Ability to work independently in a remote-first environment

(ref : hirist.tech)