Feeny
Brillio

Senior Data Specialist - R01568221 at Brillio (Bengaluru, India)

Brillio· Bengaluru, India·

Role details

Work type
Hybrid

Job description

Senior Data Engineer

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.

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.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
  • 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

Please Note This is L3 support project Flexibility to work in rotational shift is mandatory

Why work at Brillio

  • Culture: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA.
  • Work environment: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams.
  • Learning & growth: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects.
  • Remote / hybrid / office: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries).
  • Benefits: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development.
  • Interview process: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped.

Application questions