Brillio

AWS Data Specialist - R01558578

Brillio  •  Pune, IN (Hybrid)  •  27 days ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Lead Data Engineer

Primary Skills

  • Job Title: Data Product Engineer

    Experience: 5+ Years
    Location: India (Hybrid / Remote as applicable)

    We are looking for an experienced Data Product Engineer with a strong background in building, delivering, and supporting data-driven products for both operational and analytical use cases. The ideal candidate will combine product thinking with deep data engineering expertise to transform raw data into scalable, secure, and production-ready data products that integrate seamlessly into modern digital ecosystems.

    This role requires close collaboration with business stakeholders, strong software engineering practices, and a solid understanding of cloud-native data platforms.

    Key Responsibilities

  • Collaborate with cross-functional teams to design, build, maintain, and monitor high-quality Data Products that meet diverse customer and business requirements.
  • Act as a subject matter expert (SME) by bridging technical and business perspectives to deliver meaningful, data-driven solutions.
  • Manage the end-to-end data lifecycle, including data ingestion, transformation, storage, and provisioning for downstream consumers.
  • Apply software engineering best practices—CI/CD, Git-based version control, Test-Driven Development (TDD), Definition of Done (DoD), and Agile methodologies—to data engineering workflows.
  • Ensure data security, governance, and compliance standards are met across all data products.
  • Develop and maintain clear documentation, promote knowledge sharing, and support onboarding for data products and platforms.
  • Monitor data pipelines and products for reliability, performance, scalability, and cost efficiency
  • Integrate data products into broader digital and application ecosystems, supporting both real-time and batch use cases.
  • Actively contribute to continuous improvement of data architecture, tooling, and processes.
  • Technical Skillset

    Data Engineering & Analytics

  • Data pipelines, ETL / ELT processes
  • Data modeling and analytics
  • Data exploration and visualization
  • Cloud Platforms

  • AWS (strong hands-on experience):
  • S3, Redshift, Athena, Lambda, Glue
  • CodePipeline, CloudFormation
  • SNS
  • Working knowledge of: Microsoft Azure and Google Cloud Platform (GCP)
  • Data Tools & Frameworks

  • SSIS
  • Databricks
  • Spark
  • SQL
  • Python
  • R, Scala (good to have)
  • Databases

  • SQL Server
  • DynamoDB
  • ArangoDB
  • Data Formats

  • JSON, XML
  • Parquet, CSV
  • Visualization & Exploration Tools

  • Amazon QuickSight
  • Tableau
  • Microsoft Excel
  • Collaboration & Documentation

  • Miro
  • Confluence
  • Core Competencies

  • Strong product mindset with a customer-centric approach to data solutions
  • Excellent planning, communication, and organizational skills
  • Proficiency with Git / GitHub and version control best practices
  • Experience with CLI scripting (Bash, PowerShell, AWS CLI)
  • Agile mindset with exposure to Test-Driven Development (TDD)
  • Familiarity with modern data management concepts, including Data Mesh and Event-Driven / Streaming architectures

  • t

Specialization

  • Job Title: Data Product Engineer

    Experience: 5+ Years
    Location: India (Hybrid / Remote as applicable)

    We are looking for an experienced Data Product Engineer with a strong background in building, delivering, and supporting data-driven products for both operational and analytical use cases. The ideal candidate will combine product thinking with deep data engineering expertise to transform raw data into scalable, secure, and production-ready data products that integrate seamlessly into modern digital ecosystems.

    This role requires close collaboration with business stakeholders, strong software engineering practices, and a solid understanding of cloud-native data platforms.

    Key Responsibilities

  • Collaborate with cross-functional teams to design, build, maintain, and monitor high-quality Data Products that meet diverse customer and business requirements.
  • Act as a subject matter expert (SME) by bridging technical and business perspectives to deliver meaningful, data-driven solutions.
  • Manage the end-to-end data lifecycle, including data ingestion, transformation, storage, and provisioning for downstream consumers.
  • Apply software engineering best practices—CI/CD, Git-based version control, Test-Driven Development (TDD), Definition of Done (DoD), and Agile methodologies—to data engineering workflows.
  • Ensure data security, governance, and compliance standards are met across all data products.
  • Develop and maintain clear documentation, promote knowledge sharing, and support onboarding for data products and platforms.
  • Monitor data pipelines and products for reliability, performance, scalability, and cost efficiency
  • Integrate data products into broader digital and application ecosystems, supporting both real-time and batch use cases.
  • Actively contribute to continuous improvement of data architecture, tooling, and processes.
  • Technical Skillset

    Data Engineering & Analytics

  • Data pipelines, ETL / ELT processes
  • Data modeling and analytics
  • Data exploration and visualization
  • Cloud Platforms

  • AWS (strong hands-on experience):
  • S3, Redshift, Athena, Lambda, Glue
  • CodePipeline, CloudFormation
  • SNS
  • Working knowledge of: Microsoft Azure and Google Cloud Platform (GCP)
  • Data Tools & Frameworks

  • SSIS
  • Databricks
  • Spark
  • SQL
  • Python
  • R, Scala (good to have)
  • Databases

  • SQL Server
  • DynamoDB
  • ArangoDB
  • Data Formats

  • JSON, XML
  • Parquet, CSV
  • Visualization & Exploration Tools

  • Amazon QuickSight
  • Tableau
  • Microsoft Excel
  • Collaboration & Documentation

  • Miro
  • Confluence
  • Core Competencies

  • Strong product mindset with a customer-centric approach to data solutions
  • Excellent planning, communication, and organizational skills
  • Proficiency with Git / GitHub and version control best practices
  • Experience with CLI scripting (Bash, PowerShell, AWS CLI)
  • Agile mindset with exposure to Test-Driven Development (TDD)
  • Familiarity with modern data management concepts, including Data Mesh and Event-Driven / Streaming architectures

Job requirements

    Job Title: Data Product Engineer

    Experience: 5+ Years
    Location: India (Hybrid / Remote as applicable)

    We are looking for an experienced Data Product Engineer with a strong background in building, delivering, and supporting data-driven products for both operational and analytical use cases. The ideal candidate will combine product thinking with deep data engineering expertise to transform raw data into scalable, secure, and production-ready data products that integrate seamlessly into modern digital ecosystems.

    This role requires close collaboration with business stakeholders, strong software engineering practices, and a solid understanding of cloud-native data platforms.

    Key Responsibilities

  • Collaborate with cross-functional teams to design, build, maintain, and monitor high-quality Data Products that meet diverse customer and business requirements.
  • Act as a subject matter expert (SME) by bridging technical and business perspectives to deliver meaningful, data-driven solutions.
  • Manage the end-to-end data lifecycle, including data ingestion, transformation, storage, and provisioning for downstream consumers.
  • Apply software engineering best practices—CI/CD, Git-based version control, Test-Driven Development (TDD), Definition of Done (DoD), and Agile methodologies—to data engineering workflows.
  • Ensure data security, governance, and compliance standards are met across all data products.
  • Develop and maintain clear documentation, promote knowledge sharing, and support onboarding for data products and platforms.
  • Monitor data pipelines and products for reliability, performance, scalability, and cost efficiency
  • Integrate data products into broader digital and application ecosystems, supporting both real-time and batch use cases.
  • Actively contribute to continuous improvement of data architecture, tooling, and processes.
  • Technical Skillset

    Data Engineering & Analytics

  • Data pipelines, ETL / ELT processes
  • Data modeling and analytics
  • Data exploration and visualization
  • Cloud Platforms

  • AWS (strong hands-on experience):
  • S3, Redshift, Athena, Lambda, Glue
  • CodePipeline, CloudFormation
  • SNS
  • Working knowledge of: Microsoft Azure and Google Cloud Platform (GCP)
  • Data Tools & Frameworks

  • SSIS
  • Databricks
  • Spark
  • SQL
  • Python
  • R, Scala (good to have)
  • Databases

  • SQL Server
  • DynamoDB
  • ArangoDB
  • Data Formats

  • JSON, XML
  • Parquet, CSV
  • Visualization & Exploration Tools

  • Amazon QuickSight
  • Tableau
  • Microsoft Excel
  • Collaboration & Documentation

  • Miro
  • Confluence
  • Core Competencies

  • Strong product mindset with a customer-centric approach to data solutions
  • Excellent planning, communication, and organizational skills
  • Proficiency with Git / GitHub and version control best practices
  • Experience with CLI scripting (Bash, PowerShell, AWS CLI)
  • Agile mindset with exposure to Test-Driven Development (TDD)
  • Familiarity with modern data management concepts, including Data Mesh and Event-Driven / Streaming architectures
Brillio

About Brillio

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Founded in 2014 as a digitally native full-service digital transformation services and consulting firm, we apply our expertise in customer experience transformation, data analytics, Artificial Intelligence (AI), platform and product engineering, cloud infrastructure, and security to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.

Headquartered in Dallas, Texas, we are powered by a diverse global team of world-class professionals across the U.S., the UK, Romania, Canada, Mexico and India, and are certified a Great Place to Work®. We help clients harness the transformative potential of the four superpowers of technology: cloud computing, Internet of Things (IoT), AI, and mobility. We bring deep expertise across the full spectrum of digital capabilities:

• Accelerating customer experience transformation to drive growth, customer advocacy, and superior customer experience

• Powering intelligent enterprises by harnessing the potential of data, analytics, and AI

• Crafting products of relevance with a product mindset and high-performance engineering

• Enabling enterprise agility with resilient cloud infrastructure and security

To learn more, please visit https://www.brillio.com/ and follow us here or @brillioglobal.

Industry
Unknown
Company Size
5,001-10,000 employees
Headquarters
Dallas, Texas
Year Founded
Unknown
Social Media