Senior Data Specialist - R01568221

Primary Skills

• CI/CD Pipeline, CSS/SCSS/LESS, PyTest, PostgreSQL / MongoDB / Redis, REST API / GraphQL

Specialization

• Python Fullstack with Microservices: Software Development Lead

Job requirements

• 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.

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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.

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  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.

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  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.

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  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.

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  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.

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  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

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  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

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  Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
  • 5+ years of experience in Data Engineering.
  • 2+ years of experience in leading technical teams.

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  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

1. This is L3 support project
2. Flexibility to work in rotational shift is mandatory