SENIOR SOFTWARE ENGINEER - Snowflake

Happiest Minds Technologies; Dadri; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Happiest Minds Technologies is seeking a Data Engineer to design, build, and maintain scalable, cloud-native data pipelines. You will work with Snowflake, Airflow, and Fivetran to ensure timely, secure data delivery across the organization.

The role requires strong SQL/PLSQL skills and experience in ETL/ELT, data warehousing concepts, and data governance. Collaboration with analysts, architects, and stakeholders is essential in an Agile environment.

Qualifications

• 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.
• 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.

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.

Skills

Snowflake

Apache Airflow

Fivetran

SQL

PL/SQL

Data Warehousing

ETL/ELT

Git

CI/CD

Agile/Scrum

Data Governance

Education

Bachelor's degree in Computer Science or related field

Tools

Git

CI/CD tooling

Job description

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.
• ? 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.