Job highlights

- 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
- Bachelors degree in Computer Science,Information Technology,Engineering,or a related field
- Experience in building and maintaining large-scale data pipelines

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

Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.

5+ years of experience in Data Engineering, ETL Development, or Data Warehouse projects.

Robust 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.

Good 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr SOFTWARE ENGINEER - Snowflake (Noida)
🏢 Happiest Minds Technologies
📍 Noida