Azure Senior Data Engineer

1 week ago

New Delhi, India Tata Consultancy Services Full time

We await your innovation at TCS: Hiring |Azure Senior Data Engineers| Greetings from TCSRequired Experience: 5-10 years Work location: ChennaiKey Responsibilities Data Pipeline Development: Design, build, and optimize scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure services for data ingestion and processing. Data Architecture: Develop and implement scalable data architectures, data warehouses, and data storage solutions (SQL/NoSQL) on Azure. Data Quality & Security: Ensure data accuracy, consistency, integrity, and security through robust governance and best practice implementation. Performance Optimization: Monitor, troubleshoot, and optimize data systems and pipelines for optimal performance, efficiency, and cost-effectiveness. Collaboration: Work closely with data scientists, data analysts, business stakeholders, and solution architects to understand requirements and deliver effective data solutions. Automation: Implement automated data pipelines and workflows, and contribute to CI/CD (Continuous Integration/Continuous Delivery) using tools like Azure DevOps. Mentorship: Provide technical guidance and mentorship to junior data engineers.Required Skills & Experience Azure Data Services: Deep knowledge of Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and other Azure data services. Programming Languages: Proficiency in Python, PySpark, and SQL for data wrangling, processing, and query optimization. Data Warehousing: Expertise in data warehousing concepts, dimensional modeling, and data integration techniques. Big Data & Databases: Experience with both relational and non-relational databases, big data tools (like Hadoop or Kafka), and data streaming technologies. DevOps & DataOps: Understanding and application of modern engineering practices like CI/CD, DevOps, and DataOps. Problem-Solving: Strong analytical and problem-solving skills to troubleshoot and resolve complex data issues. Communication: Excellent written and verbal communication skills to collaborate with technical and business teams.

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