Senior Data Engineer

Job Title : Senior Data EngineerExperience : 6 to 10 YearsLocation : Gurgaon (Hybrid – 3 days office / 2 days WFH)Notice Period : Immediate to 30 days (Buyout option available)About the Role :We are looking for an experienced Senior Data Engineer to join our Digital IT team in Gurgaon.This role involves building scalable data pipelines, managing data architecture, and ensuring smooth data flow across the organization while maintaining high standards of security and compliance.Mandatory Skills :Azure Data Factory (ADF), Azure Cloud Services, SQL, Data Modelling, CI/CD tools, Git, Data Governance, RDBMS & NoSQL databases (e.g., SQL Server, PostgreSQL, Redis, ElasticSearch), Data Lake migration.Key Responsibilities :Design and develop secure, scalable end-to-end data pipelines using Azure Data Factory (ADF) and Azure services.Build and optimize data architectures (including Medallion Architecture).Collaborate with cross-functional teams on cybersecurity, data privacy (e.g., GDPR), and governance.Manage structured/unstructured data migration to Data Lake.Ensure CI/CD integration for data workflows and version control using Git.Identify and integrate data sources (internal/external) in line with business needs.Proactively highlight gaps and risks related to data compliance and integrity.Required Skills :Azure Data Factory (ADF) – MandatoryStrong SQL and Data Modelling expertise.Hands-on with Azure Cloud Services and data architecture.Experience with CI/CD tools and version control (Git).Good understanding of Data Governance practices.Exposure to ETL/ELT pipelines and Data Lake migration.Working knowledge of RDBMS and NoSQL databases (e.g., SQL Server, PostgreSQL, Redis, ElasticSearch).Understanding of RESTful APIs, deployment on cloud/on-prem infrastructure.Strong problem-solving, communication, and collaboration skills.Additional Info :Work Mode : Hybrid (No remote); relocation to Gurgaon required for non-NCR candidates.Communication : Above-average verbal and written English skills.Perks & Benefits :5 Days work weekGlobal exposure and leadership collaboration.Health insurance, employee-friendly policies, training and development.