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| Primary Skills (Mandatory) | (ADF), Python, PL/SQL, DBT, PySpark, Snowflake, Databricks, and job scheduling tools, while leveraging Azure Function Apps and Gen AI tools such as Cortex AI and GitHub Copilot for automation and productivity. |
| Secondary Skills (Preferred) | |
| 5. JOB DESCRIPTION | |
| Company Overview | About Voya India: Voya India (earlier VFISLK) started out as a joint venture between U.S. financial services company Voya Financial and SLK, a software services company and is head quartered at Bangalore. As of Aug 2023, we are a wholly owned subsidiary of Voya Financial. We are a dynamic technology & business process transformation company that provides world-class technology & business process management services, with an emphasis on quality, speed & optimization driven through automation. We support and deliver innovative solutions to Voya’s Retirement, Employee Benefits, and Investment Management businesses. More information about us is available at: https://www.voyaindia.com |
| Role Summary | . The engineer will work extensively with Azure Data Factory (ADF), Python, PL/SQL, DBT, PySpark, Snowflake, Databricks, and job scheduling tools, while leveraging Azure Function Apps and Gen AI tools such as Cortex AI and GitHub Copilot for automation and productivity |
| Key Roles & Responsibilities | • Architect and implement scalable data pipelines and ETL workflows using ADF, PySpark, and DBT. • Design and optimize data models for Snowflake and other cloud-based data platforms. • Develop and maintain complex data transformation logic using Python, PL/SQL, DBT, Snowpark, Snowsight web interface, Databricks notebooks, and Pyspark. • Integrate job schedulers and Azure Function Apps for orchestration and automation. • Apply Gen AI tools (Cortex AI, GitHub Copilot) to accelerate development, improve code quality, and enhance productivity. • Ensure robust data governance, security, and compliance across all solutions. • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. • Mentor junior engineers and provide technical leadership in data engineering best practices. • Participate in Scrum ceremonies and contribute to continuous improvement initiatives. |
| 6. EDUCATION & CERTIFICATIONS | |
| Education | • Bachelor of Engineering degree in Computer Science, Information Technology, or related field. • Exposure to Investment Management or Financial Services domain preferred. |
| Certifications (if any) | Certifications in Azure Data Engineering, Snowflake, or Databricks are a plus. |
| 7. LOCATION & WORK ARRANGEMENT | |
| Work Location | Bangalore/Pune/Delhi/Hyderabad |
| If Other, specify city/location | |
| Work Model | Hybrid |
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