About The Company GyanSys Inc. is a leading global systems integrator and technology consulting firm dedicated to transforming enterprise operations through innovative digital solutions. With a focus on delivering value-driven services, GyanSys specializes in SAP, Cloud, Data & Analytics, Artificial Intelligence, and Intelligent Automation.

The company partners with top technology providers to develop scalable, secure, and efficient solutions tailored to diverse industry needs. GyanSys prides itself on fostering a collaborative environment that emphasizes continuous learning, innovation, and client success. Its global presence and extensive expertise enable it to serve Fortune 500 companies and mid-market organizations alike, driving digital transformation initiatives that enhance operational efficiency and competitive advantage.

About The Role GyanSys is seeking a highly skilled Senior Data Engineer / Consultant to join its expanding Data & Analytics practice. This role is pivotal in designing, developing, and maintaining enterprise-grade data engineering solutions that leverage modern cloud platforms and data architectures.

The ideal candidate will possess a strong technical background in building scalable data pipelines, managing complex data ecosystems, and implementing best practices in data governance and security. The position offers an opportunity to work on cutting-edge technologies such as Microsoft Fabric, Azure Data Engineering, Databricks, and PySpark, collaborating closely with architects, business stakeholders, data scientists, and cross-functional teams. The role is based in Bengaluru, Pune, or Hyderabad, with an immediate start preferred.

Qualifications The candidate should hold a Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.



A minimum of four years of professional experience in data engineering or related roles is essential.

Relevant certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Data Engineer Associate, or Databricks Certified Data Engineer are highly desirable. Proven expertise in cloud data platforms, data modeling, and ETL/ELT pipeline development is required. Candidates with experience in enterprise data migration, real-time data processing, and data governance frameworks will have an added advantage.

Responsibilities

- Design, develop, and maintain scalable ETL/ELT data pipelines for enterprise data platforms, ensuring reliability and performance.
- Create data engineering solutions utilizing Microsoft Fabric, Azure Data Factory, Databricks, PySpark, Spark SQL, and Python to process structured, semi-structured, and unstructured data.
- Build and optimize data pipelines for diverse data sources including SQL Server, Oracle, PostgreSQL, APIs, cloud storage, ERP systems, and SaaS applications.
- Implement modern data architectures such as Medallion Architecture and Lakehouse models to facilitate efficient data storage and retrieval.
- Develop and optimize Databricks notebooks, Spark jobs, Delta Lake pipelines, and Databricks Workflows to ensure high performance and cost efficiency.
- Design and implement data models, data warehouses, data lakes, and Lakehouse solutions aligned with business requirements.




- Collaborate with cross-functional teams to integrate data from multiple sources, ensuring data quality, security, and compliance standards are met.
- Develop CI/CD pipelines using Azure DevOps or GitHub to automate deployment and testing processes.
- Troubleshoot production issues, perform root cause analysis, and implement performance tuning improvements.
- Participate in technical design discussions, code reviews, and documentation to promote best practices and knowledge sharing within the team.
- Mentor junior engineers and contribute to the continuous improvement of technical standards and methodologies.

Perks Joining GyanSys offers an opportunity to work on enterprise-scale digital transformation projects involving the latest cloud and data technologies. Employees benefit from a dynamic and collaborative work environment that encourages innovation and professional growth. GyanSys provides competitive compensation packages, comprehensive health benefits, and opportunities for career advancement. The company supports continuous learning through training programs, certifications, and participation in industry conferences. Additionally, employees enjoy flexible work arrangements and a culture that values diversity, inclusion, and work-life balance, making it an ideal place for talented professionals to thrive and develop their careers.

Equal Opportunity

GyanSys Inc. is an equal opportunity employer committed to fostering an inclusive workplace. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diversity and inclusion are essential to our success and are dedicated to providing a welcoming environment where all employees can grow and contribute to our mission of delivering innovative digital solutions.

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