GyanSys Inc.
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Visakhapatnam · On-site · 4-7 Yrs · Aug 13
Information Technology Support Services · 1001 to 5000 Employees · Carmel, US
Founded in 2005, GyanSys is a leading global mid-tier systems integrator and solutions provider supporting enterprise customers worldwide. We specialize in advisory, implementations, managed services, and data analytics spanning SAP, Salesforce, Microsoft, and other prime enterprise platforms. Using a mature blended delivery model with over 2,000 consultants, we support over 250 enterprise customers across the Americas, Europe, and APAC. GyanSys has extensive experience with SAP S/4HANA, IBP, Ariba, SuccessFactors, CX (formerly C/4HANA), and PLM solutions, offering pooled hour, 24x7 global support services employing SAP AMS and PCoE certified delivery centers in North America, India, and the Philippines. Gartner has recognized GyanSys as an S/4HANA reseller and services partner for North America in its “Competitive Landscape: SAP S/4HANA Service Providers” report. Core SAP expertise is augmented by our differentiated Salesforce services for the enterprise, leveraging significant experience in the Sales, Service, Community, Marketing, and Commerce clouds and their integration into complex multi-cloud environments. GyanSys is also a distinguished Microsoft Gold Partner, providing enterprise application development, Azure DevOps, cloud migration, cloud analytics, and Microsoft 365 services.
Hiring: Engineering
What employees say
+ GyanSys provides a collaborative work environment with ample opportunities to learn and grow. I had the opportunity to work on strategic enterprise accounts, interact with senior l
− The workload can be challenging during peak periods, but it contributes to strong professional development.
More reviews on the company profile.
Interview experience · Intern
First they conducted a online test, followed by a Group Discussion. After that we had a technical interview. Those who qualify technical interview they got the chance for HR interaction. Then final screening/ shorting.
Difficult difficulty · India · 82 reports
More interview insightsJob description
Overview
Senior Data Engineer / Consultant
Responsibilities
- Design, 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.
Qualifications
- Joining: Immediate Joiners Preferred
- Job Summary
- GyanSys 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.
- 4+ years of experience in Data Engineering
- Strong hands-on experience with Microsoft Fabric and/or Azure Data Engineering
- Strong experience with Databricks, PySpark, Apache Spark, Spark SQL, and Python
- Strong SQL skills and experience with relational databases
- Hands-on experience developing ETL/ELT pipelines
- Strong understanding of Data Lake, Lakehouse, Data Warehouse, and Data Modeling
- Power BI – report/dashboard development and data integration
- Tableau or other BI/visualization platforms
- Databricks Unity Catalog
- Databricks Workflows
- Microsoft Fabric governance and security
- Kafka, Azure Event Hubs, or other streaming technologies
- Azure Synapse Analytics
- Microsoft Purview
- APIs and real-time data integration
- Exposure to Microsoft Fabric Dataflows Gen2 / Direct Lake
- Agile/Scrum methodologies
- Bachelor'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.
- Microsoft Certified: Fabric Data Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Databricks Certified Data Engineer Associate/Professional
- AWS Certified Data Engineer / Data Analytics
- Google Professional Data Engineer
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