About the Role We are looking for a Full Stack Data Engineer to design build and maintain scalable data platforms and pipelines The ideal candidate has strong hands-on experience across data ingestion transformation orchestration and cloud-based analytics with a focus on modern lakehouse architectures Key Responsibilities Design develop and maintain end-to-end data pipelines using Python PySpark and SQL Build and optimize data transformation workflows using dbt on Snowflake Develop scalable lakehouse architectures for structured and semi-structured data Implement reliable data ingestion frameworks using Kafka AWS Glue and custom connectors Orchestrate workflows and manage dependencies using Apache Airflow Manage cloud infrastructure on AWS S3 Glue EMR Redshift Snowflake integrations Implement Infrastructure as Code IaC using Terraform Collaborate with cross-functional teams to deliver analytics-ready datasets Ensure data quality performance optimization and cost efficiency Use GitLab for version control CI CD and collaborative development Monitor troubleshoot and resolve data pipeline issues in production environments Requirements Required Skills Qualifications 4 years of experience with AWS data services and cloud-based data engineering Robust programming skills in Python and PySpark Hands-on experience with Snowflake and dbt for data modeling and transformations Solid understanding of SQL for complex analytical queries Experience with Apache Airflow for workflow orchestration Proficiency in Kafka for real-time streaming data ingestion Experience with AWS Glue Airflow for ETL development Experience with Terraform for infrastructure automation Strong experience with GitLab and CI CD pipelines

📌 Senior Full Stack Data Engineer (Maharashtra)
🏢 Unison Group
📍 Maharashtra