Data Engineer

About the Role

This Data Engineer role at viraaj hr solutions private limited involves working at the intersection of data architecture, automation, and business intelligence to turn raw data into actionable insights for Fortune 500 clients.

As a key member of the team, you'll design, build, and maintain scalable ETL/ELT pipelines using Python, SQL, and cloud-native tools for ingestion, transformation, and consumption.

You'll also collaborate with Data Scientists and Analysts to ensure clean, structured, and well-documented datasets for ML training and reporting.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Python, SQL, and cloud-native tools for ingestion, transformation, and consumption.
• Architect and optimize data models in cloud data warehouses (Snowflake, BigQuery, Redshift) aligned with business KPIs and analytics use cases.
• Collaborate with Data Scientists and Analysts to ensure clean, structured, and well-documented datasets for ML training and reporting.
• Automate data quality checks, lineage tracking, and monitoring alerts to ensure pipeline reliability and SLA adherence.
• Implement data governance and metadata standards using tools like Apache Atlas or Collibra to ensure compliance and observability.
• Support cloud migration initiatives by refactoring legacy ETL jobs into modular, containerized, and serverless architectures.

Skills & Qualifications

• Python
• SQL
• Apache Airflow
• Git
• Spark
• BigQuery
• AWS or Azure cloud platforms
• dbt
• Star schema modeling
• Real-time streaming (Kafka, Flink)
• Bachelor's degree in Computer Science or related field
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
• Familiarity with data governance and metadata standards

What You'll Learn

In this role, you'll gain hands-on experience with designing and building scalable ETL/ELT pipelines, as well as working with cloud data warehouses and data governance tools.

You'll also have the opportunity to upskill in GenAI/LLM data pipelines and modern data mesh architectures.

This role is ideal for freshers looking to start their career in data engineering and gain experience working with global clients and cross-functional teams.

Resume Tip

When applying for this role, be sure to highlight your experience with Python, SQL, and cloud-native tools, as well as your understanding of data governance and metadata standards.

Include specific examples of projects or initiatives you've worked on that demonstrate your skills in designing and building scalable ETL/ELT pipelines and working with cloud data warehouses.