Miratech Recruitment Drive; Hiring Junior Data Engineer – Apply Now

Junior Data Engineer (Snowflake) Job Openings in PAN India 2026!!!

Miratech announced job vacancy for the post of Junior Data Engineer (Snowflake). The place of posting will be at PAN India. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Miratech
Required Qualifications	Graduate
Skills	Python, Snowflake, DBT, and Apache Airflow
Category	Enterprise Data Platform
Work Type	Onsite

They are looking for a Junior Data Engineer to join the Enterprise Data Platform (EDP) team. This role involves supporting the development and maintenance of scalable data pipelines that power investment, risk, research, and analytics use cases across the organization. You will work under the guidance of senior engineers while progressively taking ownership of small-to-medium tasks.

Job Details

Θ Positions: Junior Data Engineer (Snowflake)

Θ Job Location: PAN India

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 744000106887075

Roles and Responsibilities:

• Assist in building and maintaining EDP data pipelines using Python, Airflow, DBT, and Snowflake.
• Support ingestion and transformation of financial datasets following established data standards.
• Develop DBT models with basic testing, documentation, and data quality checks.
• Create and monitor Airflow DAGs with dependencies, retries, alerts, and backfills under guidance.
• Help troubleshoot pipeline issues, perform routine checks, and support schema changes.
• Collaborate with analysts and platform teams; participate in reviews, sprints, POCs, and reusable frameworks

Required Skills & Qualifications:

• 1–3 years of experience in Data Engineering.
• Strong hands-on experience with Python, Snowflake, DBT, and Apache Airflow.
• Solid understanding of SQL, data warehousing concepts, and ELT patterns.
• Experience working with large-scale, structured financial datasets.
• Familiarity with Git, CI/CD, and agile delivery practices.
• Good analytical and troubleshooting skills with attention to detail.
• Willingness to learn new tools, frameworks, and cloud technologies.

Nice to Have:

• Experience in investment, risk, or financial data domains.
• Knowledge of performance tuning and cost optimization in Snowflake.
• Exposure to data quality frameworks and metadata management.
• Understanding of cloud platforms (AWS/Azure/GCP).

How to Apply

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