Job Description – Senior Data Engineer / ConsultantAbout GyanSys:GyanSys is a global systems integrator and technology consulting company that helps enterprises accelerate digital transformation through SAP, Cloud, Data & Analytics, AI, and Intelligent Automation solutions. We partner with leading technology providers to deliver innovative, scalable, and business-driven solutions across diverse industries worldwide.Senior Data Engineer / ConsultantLocation: Bengaluru | Pune | HyderabadEmployment Type: Full-TimeExperience: 4+ YearsJoining: Immediate Joiners PreferredJob SummaryGyanSys is looking for experienced Senior Data Engineers / Consultants to join our growing Data & Analytics practice. The ideal candidate will have robust hands-on experience in designing, developing, and optimizing enterprise-scale data engineering solutions across modern cloud and data platforms.The role requires expertise across technologies such as Microsoft Fabric, Azure Data Engineering, Databricks, PySpark, Apache Spark, Python, SQL, and cloud data platforms . The candidate will work closely with architects, business stakeholders, data scientists, and cross-functional teams to build scalable data pipelines and analytics solutions.Key ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT data pipelines for enterprise data platforms.Develop data engineering solutions using Microsoft Fabric, Azure Data Factory, Databricks, PySpark, Spark SQL, and Python .Build data pipelines for structured, semi-structured, and unstructured data .Work with Microsoft Fabric components such as Fabric Data Factory, Lakehouse, Warehouse, Dataflows, and Notebooks.Develop and optimize Databricks notebooks, Spark jobs, Delta Lake pipelines, and Databricks Workflows .Implement Medallion Architecture and modern Lakehouse/Data Platform architectures.Integrate data from multiple sources including SQL Server, Oracle, PostgreSQL,



APIs, cloud storage, ERP systems, and SaaS applications .Design and implement efficient data models, data warehouses, data lakes, and Lakehouse solutions .Optimize data pipelines, Spark jobs, SQL queries, clusters, and storage for performance and cost efficiency .Implement data quality, validation, monitoring, governance, security, and compliance practices.Develop and maintain CI/CD pipelines using Azure DevOps/GitHub and Git .Troubleshoot production issues and provide root-cause analysis and performance improvements.Collaborate with solution architects, business analysts, data scientists, and BI teams.Participate in technical design, code reviews, documentation, and knowledge-sharing initiatives.Mentor junior engineers and contribute to technical best practices within the team.Required Technical SkillsPrimary Skills4+ years of experience in Data EngineeringStrong hands-on experience with Microsoft Fabric and/or Azure Data EngineeringStrong experience with Databricks, PySpark, Apache Spark, Spark SQL, and PythonStrong SQL skills and experience with relational databasesHands-on experience developing ETL/ELT pipelinesExperience with Azure Data Factory / Fabric Data FactoryStrong understanding of Data Lake, Lakehouse, Data Warehouse, and Data ModelingExperience with Delta LakeExperience with Medallion ArchitectureExperience with cloud platforms, preferably Microsoft AzureExperience with Git, Azure DevOps/GitHub, and CI/CDExperience working with databases such as SQL Server, Oracle,



PostgreSQL, Snowflake , or similar platformsSecondary SkillsPower BI – report/dashboard development and data integrationTableau or other BI/visualization platformsDatabricks Unity CatalogDatabricks WorkflowsMicrosoft Fabric governance and securityKafka, Azure Event Hubs, or other streaming technologiesAzure Synapse AnalyticsMicrosoft PurviewAPIs and real-time data integrationExposure to Microsoft Fabric Dataflows Gen2 / Direct LakeAgile/Scrum methodologiesPreferred ExperienceExperience designing end-to-end enterprise data platformsExperience migrating traditional ETL/data warehouse workloads to Azure, Databricks, or Microsoft FabricExperience with real-time/streaming data pipelinesExperience implementing data governance, security, lineage, and access controlsExperience working with enterprise ERP systems such as SAPExperience with performance tuning and cost optimization of cloud data platformsExperience working with global clients and distributed teamsQualificationsBachelor's or Master's degree in Computer Science, Information Technology, Engineering , or a related field.4+ years of professional experience in Data Engineering or related roles.Preferred CertificationsMicrosoft Certified: Fabric Data Engineer AssociateMicrosoft Certified: Azure Data Engineer AssociateDatabricks Certified Data Engineer Associate/ProfessionalAWS Certified Data Engineer / Data AnalyticsGoogle Professional Data EngineerWhy Join GyanSys?At GyanSys, you'll work on enterprise-scale digital transformation programs leveraging modern cloud, data, analytics, and AI technologies. You will gain exposure to Microsoft Fabric, Databricks, Azure, modern data architectures, and global clients , while working in a collaborative environment focused on continuous learning and professional growth.

📌 Senior Data Engineer / Consultant (Immediate Joiners Only – 4+ Years) (St.Thomas Mount)
🏢 GyanSys
📍 St.Thomas Mount