ETL Developer

Role and Responsibilities

● Design, develop, and maintain ETL pipelines across Zoho applications and SaaS platforms.

● Implement Deluge scripts to automate workflows and data transformations within Zoho.

● Configure and manage Zoho Analytics for data modeling, cleansing, dashboards, and BI

reporting.

● Integrate Zoho with external SaaS tools and cloud platforms using Zoho Flow, REST APIs, and

third-party connectors (Zapier, Make, etc.).

● Perform data migration, validation, and quality checks to ensure accuracy and consistency across

systems.

● Collaborate with product, finance, sales, and operations teams to deliver data-driven insights.

● Ensure data governance, security, and compliance within SaaS and Zoho ecosystems.

● Optimize ETL processes for scalability, performance, and reliability.

Required Skills:

● Strong hands-on experience with 2+ Years as ETL developer.

● Exposure to cloud-based data architectures (AWS, GCP, or Azure).

● Hands-on experience in the Zoho ecosystem (CRM, Books, Desk, Projects, Payroll).

● Expertise in Zoho Analytics (data models, KPIs, dashboards, reports).

● Proficiency in SQL for data queries, validation, and transformation.

● Experience with APIs (REST, JSON, XML) and SaaS integrations.

● Experience with one or more ETL tools/frameworks (e.g., Informatica, Talend, SSIS, AWS Glue,

Airbyte, dbt, custom Python scripts).

● Knowledge of data migration and quality assurance techniques.

● Solid understanding of data warehousing concepts and dimensional modelling.

● Experience handling large data volumes and designing incremental/real-time loads.

● Excellent problem-solving and debugging skills.

Preferred Skills:

● Experience with cloud storage and data warehouses (AWS S3, Snowflake, BigQuery, Redshift).

● Experience with Python or Scala for data transformations.

● Familiarity with BI/Visualization tools beyond Zoho Analytics (Power BI, Tableau).

● Knowledge of CI/CD, Airflow, or orchestration frameworks.

● Understanding of SaaS metrics (e.g., usage, churn, retention).

● Experience building or maintaining multi-tenant data models.

● Knowledge of data governance, security, and compliance best practices.

Experience

Minimum 2-5 years

Qualifications and Education Requirements

Bachelor's degree in Business Administration, Computer Science, MBA or a related field.