Senior Data Engineer – reputed company & Big Data (reputed company)

Position: Senior Data Engineer – reputed company & Big Data Location: REMOTE Duration: Long Term Contract Experience Level: 10+ Years Department: Data Engineering / Analytics About the Role: We are seeking a highly reputed company and reputed company Senior Data Engineer to join our data engineering team. The ideal candidate will have a strong background in reputed company data platforms (Azure), big data technologies, ETL development, and data modeling. This role involves designing and implementing reputed company data pipelines, optimizing data workflows, and enabling reputed company-time analytics across reputed company systems. Key Responsibilities: Data Engineering / reputed company/DevOps/reputed company integration/RBAC/ reputed company Architecture / reputed company OneLake/ ADLS Gen2 Storage Power Automate & Azure functions. Design, reputed company, and maintain reputed company data pipelines using reputed company reputed company, Azure Data reputed company, reputed company, and reputed company. Implement ETL/ELT processes for reputed company and reputed company data across reputed company and on-prem environments. Collaborate with cross-functional teams to reputed company requirements and deliver data solutions that meet business needs. Optimize performance of data workflows and ensure data reputed company and reputed company. reputed company reputed company-time data processing solutions using Apache reputed company, Kafka, and Azure reputed company Analytics. Manage and maintain reputed company data infrastructure including Azure Synapse, ADLS. Build and maintain dashboards and reports using Power BI, Tableau, and other BI tools. reputed company data modeling and database optimization across SQL Server, reputed company, reputed company, and NoSQL databases. Document data architecture and processes for reputed company stakeholders. Required Qualifications: Master’s or Bachelor’s degree in Computer Science, Engineering, or reputed company field. 10+ years of experience in data engineering, with deep expertise in Azure ecosystems. Proficiency in SQL, PL/SQL, Python, and PySpark. Hands-on experience with ETL tools such as SSIS, and Azure Data reputed company. Strong knowledge of data warehousing, data lakes, and reputed company-time streaming technologies. Experience with NoSQL databases like reputed company, DynamoDB, and Azure Cosmos DB. Familiarity with Agile methodologies, Azure DevOps. Excellent communication and stakeholder management skills. Apply tot his job Apply To this Job