BODS Data Engineer

This role is for one of the Weekday's clients Min Experience: 5+ years Location: Pune, Bengaluru JobType: full-time We are seeking an experienced Lead Data Engineer to take end-to-end ownership of Enterprise Data Warehouse (EDW) solutions. This role will be responsible for designing, architecting, and optimizing scalable, secure, and high-performance data pipelines using SAP BODS, IBM DataStage, Redwood, SQL, Oracle, and modern data platforms. The ideal candidate will combine strong hands-on technical expertise with leadership capabilities to drive data engineering best practices and deliver enterprise-grade data solutions aligned with business objectives. Requirements Key Responsibilities 1. EDW Architecture & Data Engineering - Design and implement scalable data integration and transformation frameworks for the Enterprise Data Warehouse. - Architect and optimize ETL/ELT pipelines using SAP BODS and IBM DataStage. - Develop and maintain robust data models (Star/Snowflake schemas, SCD implementation). - Ensure high availability, reliability, and performance of data pipelines. - Implement data governance, security, and compliance standards. 2. ETL Development & Optimization - Develop complex data workflows and transformations. - Perform performance tuning of ETL jobs and SQL queries. - Optimize batch processing and scheduling using Redwood. - Implement error handling, logging, and monitoring mechanisms. - Manage incremental loads and data reconciliation processes. 3. Database & SQL Development - Write and optimize complex SQL queries, stored procedures, and functions. - Work extensively with Oracle databases and related technologies. - Design and manage indexing strategies and query optimization. - Support database performance analysis and tuning. 4. Leadership & Team Management - Lead and mentor a team of data engineers. - Conduct code reviews and enforce development standards. - Drive technical best practices and architecture governance. - Collaborate with cross-functional teams including BI, Analytics, and Application teams. - Participate in sprint planning, estimation, and technical roadmap discussions. 5. Stakeholder Collaboration - Work closely with business stakeholders to gather and translate requirements into technical solutions. - Provide technical guidance and solution recommendations. - Ensure alignment between enterprise data strategy and business goals. - Support production issue resolution and root cause analysis. Required Skills Technical Expertise - Strong experience with SAP BODS - Hands-on experience with IBM DataStage - Experience with Redwood scheduling - Advanced SQL development - Strong expertise in Oracle database - Deep understanding of Enterprise Data Warehouse architecture Data Engineering Concepts - Data modeling (Star/Snowflake schema, SCD Types) - ETL/ELT best practices - Data quality frameworks - Performance tuning and optimization - Data security and governance standards Preferred / Good to Have - Experience with modern cloud data platforms (Azure, AWS, GCP) - Knowledge of Snowflake, Databricks, or Synapse - CI/CD implementation for data pipelines - Exposure to data cataloging and metadata management tools - Experience in Agile/Scrum methodologies Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. - 8+ years of experience in Data Engineering. - 2+ years of experience in leading technical teams. Key Competencies - Strong architectural and analytical skills - Leadership and mentoring capability - Excellent communication and stakeholder management - Problem-solving mindset - Ability to drive enterprise-scale data initiatives - Flexibility for Shift working is mandatory. Must-have skills SAP BODS, SQL, IICS Good-to-have skills redwood, Python, Banking Domain