Data Engineer - BODS

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