Orion Innovation
SeniorDataEngineer
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“Senior Data Engineer at Orion Innovation. Skills: Azure-based data platforms, modern data engineering practices, scalable data solutions, end-to-end data pipelines, enterprise-grade data platform architecture, Azure Databricks, PySpark, Azure Data Factory, T‑SQL, SSIS, SSRS, Unity Catalog. Design, build, and maintain scalable and high-performance data pipelines on Azure. Develop and optimize data processing workflows using Azure Databricks and PySpark”
What You'll Achieve.
design, build, and optimize scalable data solutions; design, build, and maintain scalable and high-performance data pipelines; Develop and optimize data processing workflows; Implement and manage ETL/ELT solutions; Develop, tune, and maintain complex T‑SQL queries and data models; Work with SSIS and SSRS for data integration and reporting solutions; Implement and manage data governance and access controls; Ensure data quality, reliability, security, and performance across platforms; Troubleshoot and resolve issues across data pipelines and platform components
Industry & Context.
problem-solving and analytical skills
What They're Looking For.
Must Have
expertise in T‑SQL, Hands-on experience with Azure Databricks (strong proficiency required), Experience with PySpark for large-scale data processing, Hands-on experience with Azure Data Factory, working knowledge of SSIS and SSRS, Experience working with Unity Catalog for data governance, background in data engineering and data platform development, Experience with Azure Data Lake and cloud-based data architecture, 8–13 years of experience in Data Engineering or related roles, Proven experience working on Azure-based data platforms, hands-on experience in building enterprise-scale data solutions, Ability to independently own and deliver complex data engineering initiatives, Bachelor's degree in computer science, Engineering, or a related field
Nice to Have
Knowledge of performance tuning and optimization techniques, Exposure to CI/CD for data pipelines, Familiarity with data security and compliance best practices
What You'll Do.
and maintain scalable and high-performance data pipelines on Azure
Develop and optimize data processing workflows using Azure Databricks and PySpark
Implement and manage ETL/ELT solutions using Azure Data Factory
and maintain complex T‑SQL queries and data models
Work with SSIS and SSRS for data integration and reporting solutions
Implement and manage data governance and access controls using Unity Catalog
and performance across platforms
Collaborate with business
and engineering teams to understand data requirements
Troubleshoot and resolve issues across data pipelines and platform components
Follow best practices
and documentation guidelines
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; Collaborate with business, analytics, and engineering teams to understand data requirements; Ability to work effectively with cross-functional stakeholders
Process & Methodology
take ownership of end-to-end data pipelines, independently own and deliver complex data engineering initiatives, ownership mindset
Full Job Description
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Data Engineer Experience- 7-12 years Location- Kochi, Chennai, Coimbatore, Mumbai, Pune Job Overview We are seeking a highly skilled Senior Data Engineer with strong expertise in Azure-based data platforms and modern data engineering practices to design, build, and optimize scalable data solutions. This role is ideal for experienced Data Engineers who can take ownership of end-to-end data pipelines, collaborate with cross-functional teams, and contribute to enterprise-grade data platform architecture. Key Responsibilities Design, build, and maintain scalable and high-performance data pipelines on Azure Develop and optimize data processing workflows using Azure Databricks and PySpark Implement and manage ETL/ELT solutions using Azure Data Factory Develop, tune, and maintain complex T‑SQL queries and data models Work with SSIS and SSRS for data integration and reporting solutions Implement and manage data governance and access controls using Unity Catalog Ensure data quality, reliability, security, and performance across platforms Collaborate with business, analytics, and engineering teams to understand data requirements Troubleshoot and resolve issues across data pipelines and platform components Follow best practices, coding standards, and documentation guidelines Mandatory Skills Strong expertise in T‑SQL Hands-on experience with Azure Databricks (strong proficiency required) Experience with PySpark for lar
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