Serve as a technical lead for hybrid work model data solutions designing and implementing scalable platforms using cloud services Python big data technologies and advanced data modeling. Collaborate with cross functional teams to architect secure and reliable data products that support analytics innovation and business growth while ensuring quality and operational excellence.
Responsibilities
Lead end to end design of scalable data architectures that align with business objectives and enable reliable analytics for critical decision making.
Design comprehensive data models that optimize storage retrieval and performance while maintaining consistency integrity and long term maintainability.
Develop robust Python based data pipelines that automate ingestion transformation and validation of large and diverse data sources.
Implement big data processing solutions using Spark to handle high volume datasets and deliver timely insights for downstream consumers.
Architect cloud native data platforms by leveraging core services across GCP Azure and AWS to maximize resilience and cost efficiency.
Coordinate with product owners and analysts to translate analytical requirements into technical specifications and actionable data solutions.
Establish coding standards review practices and quality gates that improve reliability readability and maintainability of shared code assets.
Optimize data workflows for performance and scalability by tuning queries storage formats and partitioning strategies across large datasets.
Ensure data security and compliance by applying appropriate access controls encryption strategies and monitoring practices across environments.
Collaborate with infrastructure and operations teams to implement robust deployment monitoring and incident management for data services.
Guide peers on best practices in Python data modeling and big data technologies through code reviews knowledge sharing and mentoring activities.
Document
📌 Technical Lead (Hyderabad)
🏢 Cognizant
📍 Hyderabad
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