BODS Data Engineer

Weekday
Other - Pune
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  • Job Type: Full time
  • 2 days ago

Job Description

**This role is for one of our clients**  

Industry: IT Services and IT Consulting

Seniority level: Mid-Senior level

Min Experience: 5 years

Location: Pune, Bengaluru

JobType: full-time
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?5,00,000 - ?17,00,000 a year
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
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**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
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