Senior/Lead Data Engineer

GlobalLogic is seeking an experienced AWS Data Engineer / Data Platform Developer with 3–5 years of experience to design, develop, and support scalable data platforms and cloud solutions using AWS, Snowflake, Amazon Redshift, SQL, and Python. The role focuses on healthcare and robotics data, ensuring strong performance, reliability, security, and compliance.

• Design, develop, document, and support scalable data and cloud solutions aligned with architecture standards and business requirements.
• Build and maintain ETL/ELT data pipelines and data processing workflows.
• Develop and support data solutions using Snowflake, Amazon Redshift, SQL, and Python.
• Design and maintain data lakes, data warehouses, databases, and related data platform components.
• Develop and optimize SQL queries, stored procedures, UDFs, views, and other database objects.
• Develop Python-based data processing, integration, and automation solutions.
• Develop and support REST APIs and cloud-based services using AWS technologies in scalable and microservices-oriented architectures.
• Participate in system and production deployment planning and support production releases.
• Monitor, troubleshoot, and optimize data pipelines, databases, APIs, and cloud services to improve performance, reliability, and scalability.
• Identify functionality, performance, or data quality deficiencies and implement improvements to data handling, integrity, conversion, storage, and system behavior.
• Implement data quality, validation, monitoring, and governance mechanisms.
• Ensure solutions comply with applicable security, regulatory, and company standards, including authentication, authorization, access management, and data protection requirements.
• Support compliance with standards and frameworks such as HIPAA, SOC 2, and ISO 27001, where applicable.
• Evaluate existing platform capabilities and determine whether standard functionality or custom development is required to address business needs.
• Create and maintain detailed technical documentation, system specifications, architecture documentation, and operational procedures.
• Collaborate with technical teams, architects, business stakeholders, and external technology vendors.
• Support testing, deployment, maintenance, and continuous improvement of platform components.

• 3–5 years of experience in data engineering, database development, and cloud-based application development
• Hands-on experience with Snowflake and Amazon Redshift
• Strong SQL skills, including complex queries, stored procedures, UDFs, database objects, and performance optimization
• Strong Python skills for data processing, scripting, integration, and automation
• ETL/ELT pipeline development and data integration
• Data modelling, data warehousing, and data lake concepts
• Performance tuning, monitoring, troubleshooting, and production support
• Data quality, reliability, and data integrity practices
• Technical documentation and system specification development
• Familiarity with AWS services and cloud architecture (nice to have)
• AWS Lambda (nice to have)
• Node.js (nice to have)
• REST API development and integration (nice to have)
• Security concepts, authentication, authorization, and access management (nice to have)
• CI/CD practices (nice to have)
• Cloud-native and microservices-based architectures (nice to have)
• Infrastructure as Code practices (nice to have)
• Relevant AWS certifications such as AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect (nice to have)
• Strong attention to detail, analytical and troubleshooting skills
• Effective communication with technical and business stakeholders
• Ability to work independently and collaboratively
• Adaptability, ownership, and a continuous learning mindset