This role is for one of the Weekday's clients
Min Experience: 7 years
Location: Bengaluru
JobType: full time
This role is designed for an experienced Traditional Data Engineer who thrives on building, maintaining, and optimizing reliable data systems that power business intelligence and analytics. Based in Bengaluru, this full-time position focuses on designing and managing structured data pipelines using proven data engineering practices, with strong emphasis on PL/SQL and Python. You will play a critical role in ensuring data accuracy, performance, and availability across enterprise systems, supporting reporting, analytics, and downstream applications. The role requires deep technical expertise, a strong understanding of relational databases, and the ability to work closely with stakeholders to translate data requirements into scalable solutions.
Key Responsibilities
Design, develop, and maintain robust data pipelines to extract, transform, and load data from multiple source systems into enterprise data platforms
Build and optimize complex PL/SQL procedures, functions, packages, and triggers to support large-scale data processing and reporting needs
Develop Python-based scripts and frameworks for data ingestion, validation, transformation, and automation
Ensure data quality, integrity, and consistency across datasets through validations, reconciliations, and monitoring processes
Collaborate with business analysts, reporting teams, and application owners to understand data requirements and deliver reliable datasets
Optimize database performance through query tuning, indexing strategies, and efficient data modeling techniques




Support data warehouse and data mart development, including schema design, fact and dimension modeling, and historical data management
Troubleshoot and resolve data-related issues in production environments, ensuring minimal downtime and accurate root-cause analysis
Implement best practices for version control, documentation, and deployment of data engineering solutions
Adhere to data governance, security, and compliance standards while handling sensitive and business-critical information
Participate in system upgrades, data migrations, and performance improvement initiatives
Provide technical guidance and mentorship to junior data engineers and contribute to continuous process improvements
What Makes You a Great Fit
A minimum of 7 years of hands-on experience in data engineering or related roles, with strong exposure to traditional data platforms
Deep expertise in PL/SQL, including performance tuning, complex transformations, and large-scale data processing
Strong proficiency in Python for data engineering tasks, automation, and scripting
Solid understanding of relational databases, data modeling concepts, and ETL/ELT processes
Experience working with enterprise data warehouses and structured datasets
Strong analytical and problem-solving skills with the ability to handle complex data challenges
Ability to work independently while collaborating effectively with cross-functional teams
High attention to detail, commitment to data accuracy, and ownership of end-to-end data workflows
Clear communication skills to explain technical concepts to both technical and non-technical stakeholders

📌 Traditional Data Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru