Job Title : Senior Data Engineer
Skills : Data Engineering, AgenticAI, Python, SQL, Api’s, Azure cloud services, SQL and NoSQL ,Docker, Kubernetes.
Location : Pan India
Job Type : Full-Time
Experience Level : 4-11 Years
About the Role :
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in Python, Azure, CI / CD, deployment, and writing efficient data pipelines. You will be responsible for designing, developing, and maintaining robust data infrastructure and pipelines that support our data-driven decision-making processes.
Key Responsibilities :
- Data Pipeline Development : Design, develop, and maintain efficient and scalable data pipelines using Python and Azure tech stack.
- Collaboration : Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Documentation : Create and maintain comprehensive documentation for data pipelines, processes, and solutions.
- Troubleshooting : Identify and resolve data-related issues and bottlenecks.
Qualifications :
Education : Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent in related field.Experience : 6-8 years of experience in data engineering, with a strong focus on Python, Azure, CI / CD, and deployment.Technical Skills :Proficiency in Python, Api’s for data processing and automation.Extensive experience with Azure cloud services (Azure Data Factory, Azure Databricks, Azure SQL Database, etc.).Understanding of CI / CD principles and tools (e.g., Jenkins, GitLab CI / CD).Understandin with containerization and orchestration tools (e.g., Docker, Kubernetes).Knowledge of SQL and NoSQL databases.Familiarity with data warehousing concepts and technologies.Soft Skills :Excellent problem-solving and analytical skills.Strong communication and collaboration abilities.Ability to work independently and as part of a team.Detail-oriented with a focus on quality and accuracy.Preferred Qualifications :
Experience with big data technologies (e.g., Hadoop, Spark).Knowledge of machine learning and data science concepts.Certification in Azure or other relevant technologies.Benefits :
Competitive salary and performance-based bonuses.Health, dental, and vision insurance.Retirement savings plan with company match.Professional development opportunities.Flexible working hours and remote work options.