BODS Data Engineer

Weekday AI; Pune District; Vor Ort; INR 350.000 - 700.000; Vollzeit

Zusammenfassung

Weekday AI is seeking an experienced Lead Data Engineer to own Enterprise Data Warehouse initiatives in Pune and Bengaluru. You will design, architect, and optimize scalable data pipelines using SAP BODS, IBM DataStage, and modern platforms to deliver enterprise-grade solutions.

You will lead a team of data engineers, enforce coding standards, collaborate with BI and analytics teams, and drive governance, security, and performance improvements across the data ecosystem.

Qualifikationen

• Experience with SAP BODS and IBM DataStage.
• Strong SQL development and Oracle database skills.
• Experience designing Enterprise Data Warehouse architecture.
• Leadership experience guiding data-engineering teams.
• Understanding of data governance and security practices.

Aufgaben

• Lead EDW architecture and data engineering initiatives.
• Design and optimize ETL/ELT pipelines across platforms.
• Develop data models and ensure data quality.
• Mentor and review code for a team of data engineers.
• Collaborate with BI/Analytics and Application teams.

Kenntnisse

SAP BODS

IBM DataStage

Redwood scheduling

SQL development

Oracle database

EDW architecture

Data modeling

ETL/ELT design

Leadership

Data governance

Ausbildung

Bachelor's or Master’s degree in Computer Science/Information Systems

Tools

Snowflake

Databricks

Synapse

Azure

Jobbeschreibung

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.

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