Data Engineer Lead

Qloron Pvt Ltd; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Qloron Pvt Ltd is seeking an experienced Data Engineer to join their team in Hyderabad. The ideal candidate will have over 8 years of experience, demonstrating strong proficiency in cloud data platforms, workflow orchestration, and modern analytics engineering practices including Python development and Apache Airflow.

The role involves designing and building robust ETL/ELT data pipelines that support business intelligence initiatives. Candidates should apply advanced SQL skills and experience with BigQuery.

Qualifications

• 8+ years of experience in data engineering.
• Strong proficiency in cloud data platforms.
• Hands-on experience with pipeline development and workflow orchestration.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build and manage workflow orchestration using Apache Airflow.
• Develop data models and transformations using dbt.

Skills

Python for data processing and pipeline development

Apache Airflow for workflow orchestration

dbt (data build tool)

BigQuery or similar cloud data warehouses

GCS (Google Cloud Storage) or equivalent cloud object storage

ETL/ELT patterns and best practices

8+ years of overall experience in data engineering

Job description

We are seeking an experienced Data Engineer with 8+ years of expertise to join our team in Hyderabad. The

ideal candidate will bring strong proficiency in cloud data platforms, workflow orchestration, and modern analytics engineering practices. This role demands hands‑on experience with Python‑based pipeline development, Apache Airflow for orchestration, advanced SQL, dbt for analytics engineering, and cloud data warehouse technologies such as BigQuery. The candidate will be responsible for designing, building, and maintaining robust ETL/ELT data pipelines and data models that support business intelligence and analytics initiatives. Immediate to 15-day notice period joiners are preferred.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for data processing and transformation
• Build and manage workflow orchestration using Apache Airflow
• Develop and maintain data models and transformations using dbt
• Work with BigQuery or similar cloud data warehouses for data storage and querying
• Manage and interact with cloud object storage such as GCS or equivalent
• Implement and optimize ETL/ELT patterns for efficient data ingestion and processing
• Apply advanced SQL for data querying, transformation, and analysis
• Collaborate with analytics and engineering teams to support data‑driven decision making
• Ensure data quality, reliability, and performance across data pipelines
• Apply analytics engineering best practices to deliver clean, well‑documented data assets

Required Skills

• Python for data processing and pipeline development
• Apache Airflow for workflow orchestration
• dbt (data build tool)
• BigQuery or similar cloud data warehouses
• GCS (Google Cloud Storage) or equivalent cloud object storage
• ETL/ELT patterns and best practices
• 8+ years of overall experience in data engineering

Preferred (Bonus) Skills

• Experience with equivalent cloud data warehouse platforms
• Familiarity with other cloud object storage solutions
• Immediate to 15-day notice period availability