Senior Data Engineer (Migration)

Verdantas; Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Verdantas is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data systems that enable reliable data availability across the organization.

You will collaborate with stakeholders to support analytics, reporting, and data-driven decision-making while upholding data integrity, performance, and governance standards.

Qualifications

• Bachelor's or Master's degree in computer science, information systems, data engineering, or related field.
• Typically 5–9 years hands-on experience in data engineering, data integration, and cloud-based data environments.

Responsibilities

• Design, build, and maintain scalable data pipelines and data systems.
• Collaborate with stakeholders to support analytics, reporting, and data-driven decisions.
• Apply data governance, metadata management, and data quality best practices.

Skills

SQL

Python

Azure

ETL/ELT

Data governance

Data modeling

Education

Bachelor's or Master's in CS/IS/Data Engineering

Tools

Apache Spark

Job description

At Verdantas, we are looking for a talented and experienced Senior Data Engineer to join our growing team. This role is responsible for designing, building, and maintaining scalable data pipelines and data systems that ensure reliable, high-quality data availability across the organization. The Senior Data Engineer will work closely with stakeholders to support analytics, reporting, and data-driven decision-making while ensuring data integrity, performance, and governance standards are maintained. The ideal candidate will be passionate about solving complex data challenges, supporting enterprise data initiatives, and contributing to the continuous improvement of scalable and reliable data solutions

Responsibilities:

Technical Expertise

• Demonstrate strong proficiency in SQL and Python for data engineering, transformation, and optimization activities.
• Develop and support large-scale data processing solutions using distributed processing frameworks such as Apache Spark or similar technologies.
• Work within Azure-based cloud data ecosystems to build and maintain scalable data solutions.
• Design, develop, and maintain ETL/ELT pipelines using orchestration and workflow management tools.
• Support and execute data migration initiatives, ensuring data accuracy, consistency, and minimal disruption to business operations.
• Apply best practices in data modeling, metadata management, and data governance to create reliable and reusable data assets.
• Collaborate with cross-functional teams to improve data quality, performance, and accessibility for business users and analytics teams.

Education & Experience

• Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related discipline.
• Typically, 5-9 years of hands-on experience in data engineering, data integration, and cloud-based data environments.

Preferred Certifications

• Google Professional Data Engineer
• AWS Certified Data Analytics – Specialty

Location and Work Set-up

• Pune, Maharashtra, India
• Work Mode: In Office

Required Skills