SnapLogic Developer

Virtusa

Bengaluru

On-site

INR 1,800,000 - 2,400,000

Full time

2 days ago
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Job summary

Virtusa Bengaluru is seeking a SnapLogic Data Engineer to design, develop, and maintain scalable data integration solutions. The role requires hands-on expertise in SnapLogic, Fivetran, Snowflake, ETL/ELT, SQL, cloud platforms, and data warehousing, and includes leading a technical team and collaborating with stakeholders to define data requirements.

The candidate will design, build, and optimize data pipelines, ensure data quality and security, and support production deployments across cloud

Qualifications

  • 7–10 years of data engineering experience.
  • Hands-on experience with SnapLogic, Fivetran and Snowflake.
  • Strong SQL and relational database experience (Oracle, SQL Server, PostgreSQL).
  • Experience in ETL/ELT, data integration, and pipeline development.
  • Experience leading and managing a technical team.

Responsibilities

  • Design, develop, and maintain integration pipelines using SnapLogic.
  • Build and optimize ETL/ELT workflows for data ingestion and transformation.
  • Develop and manage data ingestion pipelines using Fivetran.
  • Design and support data integration and transformation solutions using Snowflake.
  • Integrate data from databases, APIs, cloud services, and flat files.
  • Develop solutions for data warehouses and data lakes.
  • Monitor, troubleshoot, and optimize pipeline performance and reliability.
  • Implement data quality, governance, and security best practices.
  • Support production deployments and resolve integration issues.
  • Collaborate with technical and business stakeholders on data requirements.
  • Lead and manage a team, providing technical guidance, task allocation, and support to team members.

Skills

SnapLogic
Fivetran
Snowflake
ETL/ELT
SQL
Data warehousing
REST APIs
JSON/XML
AWS/Azure/GCP
Team leadership
Debugging

Job description

Job Requirements
Job Summary

We are seeking a skilled SnapLogic Data Engineer with strong expertise in designing, developing, and maintaining scalable data integration solutions. The role requires hands-on experience in SnapLogic, Fivetran, Snowflake, ETL/ELT, SQL, cloud platforms, and data warehousing. The ideal candidate should also have prior experience in leading and managing a technical team.

Key Responsibilities
  • Design, develop, and maintain integration pipelines using SnapLogic.
  • Build and optimize ETL/ELT workflows for data ingestion and transformation.
  • Develop and manage data ingestion pipelines using Fivetran.
  • Design and support data integration and transformation solutions using Snowflake.
  • Integrate data from databases, APIs, cloud services, and flat files.
  • Develop solutions for data warehouses and data lakes.
  • Monitor, troubleshoot, and optimize pipeline performance and reliability.
  • Implement data quality, governance, and security best practices.
  • Support production deployments and resolve integration issues.
  • Collaborate with technical and business stakeholders on data requirements.
  • Lead and manage a team, providing technical guidance, task allocation, and support to team members.
Required Skills
  • Strong hands-on experience with SnapLogic Integration Platform.
  • Hands-on expertise in Fivetran for data ingestion and integration.
  • Strong experience with Snowflake.
  • Expertise in ETL/ELT, data integration, and pipeline development.
  • Strong knowledge of SQL and relational databases such as Oracle, SQL Server, and PostgreSQL.
  • Knowledge of data warehousing and dimensional modeling.
  • Experience with REST APIs, JSON, XML, and web services.
  • Experience with AWS, Azure, or GCP.
  • Strong debugging, troubleshooting, and performance optimization skills.
  • Prior experience leading and managing a technical team.
Preferred Skills
  • Experience with Redshift, BigQuery, or Azure Synapse.
  • Familiarity with Python or scripting.
  • Knowledge of CI/CD pipelines and Agile/Scrum methodologies.
  • SnapLogic certification is preferred.
Work Experience

7-10Years

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