Senior Data Engineer (Migration)

ESP Engineered; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Verdantas is seeking a Senior Data Engineer to design and maintain scalable data pipelines that ensure reliable data availability for analytics and reporting. The ideal candidate will possess strong proficiency in SQL and Python, and have experience with cloud data ecosystems.

This role requires a Bachelor’s or Master’s degree in a relevant field and typically 5-9 years of hands-on data engineering experience, focusing on data quality and governance, along with preferred certifications.

Qualifications

• Proficiency in SQL and Python.
• Experience with distributed data processing frameworks like Spark or Flink.
• Familiarity with cloud data ecosystems such as Azure.
• Hands-on data engineering experience of typically 5-9 years.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Ensure reliable data availability and quality for analytics.
• Support data-driven decision-making across the organization.

Skills

SQL

Python

Spark

Flink

Azure

ETL/ELT orchestration tools

Data Migration

Education

Bachelor’s/master’s degree in computer science, Information Systems, Data Engineering, or equivalent

Tools

Google Professional Data Engineer

AWS Certified Data Analytics – Specialty

Job description

We at Verdantas, looking for Senior Data Engineer to join our team.

The Senior Data Engineer will design, build, and maintain scalable data pipelines and systems that ensure reliable data availability and quality for analytics, reporting, and data-driven decision-making across the organization.

Responsibilities

Technical Expertise

• Strong proficiency in SQL and Python.
• Experience with distributed data processing frameworks (e.g., Spark, Flink).
• Familiarity with cloud data ecosystems (Azure).
• Experience working with ETL/ELT orchestration tools.
• Experience working with Data Migration.
• Understanding of data modeling, metadata management, and governance.

Education & Experience

• Bachelor’s/master’s degree in computer science, Information Systems, Data Engineering, or equivalent.
• Typically, 5-9 years of hands‑on data engineering experience (depending on level).

Preferred Certifications

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