? Job ID: QTAJH08604

? Role: Data Engineer

? Work Mode: Full-Time

? Location: Bangalore / Hyderabad

⏳ Experience: 5+ Years

? Mandatory SkillsCandidates must have hands-on experience in all of the following technologies:

✅ Apache Airflow

✅ Data Lake / Data Lake Architecture

✅ SQL

✅ Apache Iceberg

✅ dbt (Data Build Tool)

✅ PySpark

⚠️ All listed skills are mandatory. Candidates without hands-on experience in any of these technologies may not be considered.

? Key Responsibilities

- Design, develop and maintain scalable data engineering pipelines.
- Build and orchestrate data workflows using Apache Airflow.
- Develop and optimize data processing solutions using PySpark.
- Work with modern Data Lake architectures and large-scale datasets.
- Implement and manage Apache Iceberg tables and data pipelines.
- Develop reliable transformation models using dbt.
- Write complex and optimized SQL queries for data extraction, transformation and analysis.
- Build batch and incremental data processing pipelines.
- Implement data quality, validation and monitoring frameworks.
- Optimize data pipelines for performance, scalability and cost.
- Collaborate with Data Architects, Analytics Engineers and other technical teams.
- Troubleshoot pipeline failures and production data issues.
- Follow best practices for data governance, security and CI/CD.

? Required Technical ExpertiseData Engineering





- Robust Data Engineering fundamentals
- Data Lake / Lakehouse architecture
- Batch and incremental processing
- ETL/ELT pipeline development

Pipeline Orchestration

- Apache Airflow
- DAG development
- Scheduling and dependency management
- Pipeline monitoring and troubleshooting

Big Data

- PySpark
- Distributed data processing
- Performance optimization

Data Lake / Lakehouse

- Apache Iceberg
- Partitioning
- Schema evolution
- Time travel
- Snapshot management

Transformation

- dbt
- Data modeling
- Incremental models
- Testing and documentation

Database

- Advanced SQL
- Query optimization
- Joins, CTEs, Window Functions
- Performance tuning

? Candidate ProfileWe are looking for a strong Data Engineer with practical experience building production-grade data pipelines using Airflow, PySpark, SQL, Data Lake, Apache Iceberg and dbt. Candidates should be comfortable working with large datasets and up-to-date Lakehouse/Data Engineering architectures.

? Interested candidates can share their updated CV at:

[email protected]

Please mention Job ID: QTAJH08604 – Data Engineer in the subject line.

? www.qloron.com

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📌 Data Engineer – Airflow | Data Lake | SQL | Iceberg | dbt | PySpark (Bengaluru)
🏢 Qloron
📍 Bengaluru