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 / Consultant
Location: Bengaluru | Pune | Hyderabad
Employment Type: Full-Time
Experience: 4+ Years
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.
Key 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.
Required Technical Skills
Primary Skills
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
Experience with
Azure Data Factory / Fabric Data Factory
Strong understanding of
Data Lake, Lakehouse, Data Warehouse, and Data Modeling
Experience with
Delta Lake
Experience with
Medallion Architecture
Experience with cloud platforms, preferably
Microsoft Azure
Experience with
Git, Azure DevOps/GitHub, and CI/CD
Experience working with databases such as
SQL Server, Oracle, PostgreSQL, Snowflake , or similar platforms
Secondary Skills
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
Preferred Experience
Experience designing
end-to-end enterprise data platforms
Experience migrating traditional ETL/data warehouse workloads to
Azure, Databricks, or Microsoft Fabric
Experience with
real-time/streaming data pipelines
Experience implementing data governance, security, lineage, and access controls
Experience working with enterprise ERP systems such as
SAP
Experience with performance tuning and cost optimization of cloud data platforms
Experience working with global clients and distributed teams
Qualifications
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.
Preferred Certifications
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
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.