- Lead the Data Engineering team in developing, testing, documenting, and supporting scalable data pipelines.
- Collaborate with analytics and business teams to enhance data models, improving business intelligence tools, data accessibility, and enabling data-driven decision-making across the organization.
- Design and build data integrations, create a data quality framework, and write unit, integration, and functional tests while documenting the work.
- Design, implement, and automate the deployment of distributed systems to collect and process streaming events from multiple sources.
- Build recent data integrations, including APIs, to accommodate increasing data volume and complexity.
- Collaborate with analytics, business, and product teams to enhance data models and improve data accessibility, enabling robust business intelligence and data-driven decision-making.
- Develop and implement scalable solutions that align with data governance and architectural standards for data integrations,



storage, reporting, and analytics.
- Perform root cause analysis on data-related issues and collaborate with cross-functional teams to resolve them efficiently.
- Mentor junior engineers, promoting best practices in coding, performance optimization, and cloud-native development.
- Communicate effectively across all levels, influencing stakeholders and IT leaders to deliver impactful data solutions.
- Partner with key stakeholders and IT leaders at all levels to deliver solutions that meet business needs.
- Utilize extensive knowledge of data warehousing, data modeling, DevOps, CI/CD, API integration, big data, and cloud computing platforms (e.g., Azure).

Skills: Data Modeling, Devops, Api Integration, Data Warehousing, data engineering , Azure

Experience: 5.00-10.00 Years

📌 Staff Engineer-Talend (Hyderabad)
🏢 TJX
📍 Hyderabad