Senior Lead Data Engineer (BODS) R

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.

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

• Bachelors or Masters degree in Computer Science Information Systems or related field.
• 5 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