Qloron Pvt Ltd
Website:
qloron.com
Job details:
๐ Job ID: QTAJH08604
๐ผ Role: Data Engineer
๐ข Work Mode: Full-Time
๐ Location: Bangalore / Hyderabad
โณ Experience: 5+ Years
๐น Mandatory Skills
Candidates must have hands-on experience in all of the following technologies:
โ
Apache Airflow
โ
Data Lake / Data Lake Architecture
โ
SQL
โ
Apache Iceberg
โ
dbt (Data Build Tool)
โ
PySpark
โ ๏ธ All listed skills are mandatory. Candidates without hands-on experience in any of these technologies may not be considered.
๐น 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.
๐น Required Technical Expertise
Data Engineering
- Strong 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
๐ฏ Candidate Profile
We 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 modern Lakehouse/Data Engineering architectures.
๐ฉ Interested candidates can share their updated CV at:
vishwajit.mandal@qloron.com
Please mention Job ID: QTAJH08604 โ Data Engineer in the subject line.
๐ www.qloron.com
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