Senior Data Engineer at Weekday AI

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

7000000.0

Posted On

13 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Oracle Databases, SQL, PL/SQL, Data Modeling, Schema Design, Performance Optimization, Python, Data Quality Frameworks, Agile Delivery, Cloud Services, ETL Tools, CI/CD Pipelines, Unix Shell Scripting, Version Control Systems, Investment Management, Data Governance

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 3500000 - Rs 7000000 (ie INR 35-70 LPA) Min Experience: 5 years Location: Bengaluru, Karnataka JobType full-time As a Senior Data Engineer, you will play a critical role in designing, building, and maintaining enterprise-grade data platforms and data applications that support core business operations. This role is suited for a highly experienced professional who can take ownership of complex data initiatives, drive technical excellence, and deliver scalable, reliable solutions within a modern data engineering ecosystem. You will work closely with cross-functional stakeholders and contribute directly to operational efficiency, risk reduction, and platform resilience. Key Responsibilities • Design, develop, and optimize complex SQL queries, stored procedures, and data models for Oracle-based data systems • Build, maintain, and enhance robust ETL pipelines to support data ingestion, transformation, and delivery • Implement data quality checks, validation frameworks, and integrity controls to ensure reliable datasets • Translate business and functional requirements into clear technical specifications and data solutions • Lead troubleshooting and resolution of complex performance, scalability, and data reliability issues • Design and manage integrations between on-premise Oracle systems and cloud platforms, especially AWS S3 • Establish documentation standards and ensure accurate, up-to-date technical and system documentation • Lead code reviews and define best practices for database and data pipeline development • Plan and execute data migration strategies from legacy platforms to modern cloud-based architectures • Actively participate in Agile ceremonies, including sprint planning, estimations, and technical design discussions • Improve system resiliency through automation, testing coverage, and knowledge-sharing initiatives • Mentor junior engineers and contribute to overall team capability and technical maturity What Makes You a Great Fit • 5–10 years of hands-on experience working with Oracle databases, including advanced SQL and PL/SQL development • Strong expertise in data modeling concepts, schema design, and performance optimization • Proficiency in Python for automation, data processing, and pipeline enhancements • Proven experience implementing data quality frameworks and governance best practices • Ability to reverse-engineer complex database schemas and understand intricate data relationships • Strong working knowledge of version control systems such as Git/GitHub • Experience working within Agile delivery models and contributing to technical leadership discussions • Solid understanding of investment management or financial data domains such as securities, transactions, holdings, and fund accounting • Exposure to cloud services (AWS S3, Lambda, Step Functions) and modern data architectures • Experience with ETL tools, CI/CD pipelines, and Unix shell scripting is an advantage • Strong communication skills with the ability to document systems and collaborate effectively across teams • A proactive mindset with the ability to take ownership, drive improvements, and mentor others

Responsibilities

The Senior Data Engineer will design, develop, and optimize complex SQL queries and ETL pipelines while ensuring data quality and integrity. They will also lead troubleshooting efforts and mentor junior engineers.