Data Engineer (AWS, SQL)
Verdantas
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We at Verdantas, seeking for Data Engineer. A Data Engineer is responsible for designing, building, and maintaining scalable, reliable, and high‑performance data systems. The role focuses on developing efficient ETL/ELT pipelines, ensuring data quality, managing data storage systems, and enabling analytics, reporting, and machine-learning use cases. This position collaborates closely with data scientists, analysts, architects, and business stakeholders to ensure seamless data availability and accessibility. The position requires in-office work in Pune, Maharashtra, India.
&##128203; Key Responsibilities
Technical Expertise
Strong proficiency in SQL and Python 1 2.
Experience with distributed data processing frameworks (e.g., Spark, Flink) 1.
Familiarity with cloud data ecosystems (AWS, Azure, GCP) 1.
Experience working with ETL/ELT orchestration tools.
Understanding of data modeling, metadata management, and governance.
Soft Skills
Strong problem-solving and analytical skills.
Ability to communicate complex data topics to non‑technical audiences 4.
Collaborative mindset and stakeholder engagement skills.
Education & Experience
Bachelor’s/master’s degree in computer science, Information Systems, Data Engineering, or equivalent.
Typically, 3–8+ years of hands-on data engineering experience (depending on level).
Preferred Certifications
Google Professional Data Engineer
Microsoft Certified: Azure Data Engineer Associate
AWS Certified Data Analytics – Specialty
Location and Work Set-up
- Pune, Maharashtra, India
- Work Mode: In Office
Posted 12 Mar 2026 · Listing from OnJob.io. Create a free profile to apply and see your AI match score.
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