Job Description – Senior Data Engineer / Consultant

About

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 Preferred

Job SummaryGyanSys is looking for experienced

Senior Data Engineers / Consultants

to join our growing Data & Analytics practice. The ideal candidate will have strong 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 platforms

Secondary 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 methodologies

Preferred 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 teams

QualificationsBachelor'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 Qualified Data Engineer

Why 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) (Mumbai)
🏢 GyanSys
📍 Mumbai