We are seeking a highly skilled Data Engineer to join our growing data and analytics team. The ideal candidate will have strong experience designing, building, and maintaining robust, scalable, cloud-native data pipelines using modern data engineering technologies such as Snowflake, Apache Airflow, and Fivetran. The candidate should possess excellent SQL and PL/SQL programming skills and have hands-on experience in data integration, transformation, optimization, and orchestration. As a Data Engineer, he will work closely with data analysts, architects, business stakeholders, and engineering teams to ensure reliable, timely, and secure delivery of data across the organization. He will play a key role in enabling analytics, reporting, and data-driven decision-making by building high-quality data solutions.

Key Responsibilities
? Design, develop, and maintain scalable data pipelines and ETL/ELT processes. ? Build and optimize data ingestion frameworks using Fivetran, custom integrations, and API-based connectors. ? Develop and manage workflow orchestration using Apache Airflow. ? Design, implement, and optimize data models, schemas, and transformations in Snowflake. ? Write complex and efficient SQL/PLSQL scripts, stored procedures, functions, and performance-tuned queries. ? Ensure data quality, integrity, consistency, and governance across all data platforms. ? Monitor, troubleshoot,



and resolve data pipeline failures and performance bottlenecks. ? Collaborate with business analysts, data architects and reporting teams to understand data requirements and deliver scalable solutions. ? Implement best practices around data security, access control, and compliance. ? Support CI/CD and automation initiatives for data engineering workflows. ? Create and maintain technical documentation for data solutions and operational procedures. Required

Qualifications:
? Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. ? 5+ years of experience in Data Engineering, ETL Development, or Data Warehouse projects. ? Strong hands-on experience with Snowflake Data Warehouse. ? Experience with Apache Airflow for workflow orchestration and scheduling. ? Experience working with Fivetran for data ingestion and replication. ? Advanced proficiency in SQL and PL/SQL development. ? Valuable understanding of data warehousing concepts, dimensional modeling, and data lake architectures. ? Experience in building and maintaining large-scale data pipelines. ? Strong debugging, performance tuning, and optimization skills. ? Familiarity with version control systems such as Git. ? Experience with DevOps and CI/CD implementation for data pipelines. ? Experience working in Agile/Scrum environments.

📌 SENIOR SOFTWARE ENGINEER (Noida)
🏢 Happiest Minds Technologies
📍 Noida