Job Description Data Engineer

Position-Data Engineer

Experience - 5 10 Years

Job Summary

We are seeking an experienced Data Engineer with robust expertise in building scalable and high-performance data platforms. The ideal candidate will have hands-on experience with Apache Airflow, Apache Spark, PySpark, Scala, Databricks, Docker, and Advanced SQL, with a proven track record of developing and optimizing large-scale data pipelines and ETL processes.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and data processing frameworks.
- Build and orchestrate ETL/ELT workflows using Apache Airflow.
- Develop data engineering solutions using Apache Spark, PySpark, and Scala.
- Leverage Databricks for large-scale data processing, optimization, and analytics.
- Write, optimize, and troubleshoot complex SQL queries involving:
- Inner, Left, Right, and Full Joins
- Self Joins
- CTEs and Subqueries
- Window Functions
- Query Performance Tuning

- Develop, deploy, and manage containerized applications using Docker.
- Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.
- Implement data quality checks, monitoring, and performance tuning.
- Ensure data governance, security, and compliance standards are maintained.
- Troubleshoot and resolve production issues related to data pipelines and processing jobs.

Mandatory Skills

- Apache Airflow DAG creation, workflow orchestration, scheduling, and monitoring.




- Apache Spark Distributed data processing and performance optimization.
- PySpark ETL development, transformations, and data engineering.
- Scala Programming Strong hands-on development experience with Spark/Scala applications.
- Databricks Notebooks, workflows, Delta Lake, and cluster management.
- Advanced SQL
- Strong expertise in Joins (Inner, Outer, Left, Right, Full, Self)
- Window Functions
- Query Optimization
- Data Modeling Concepts
- Performance Tuning

- Docker

- Containerization
- Image Creation and Management
- Docker Compose
- Deployment and Troubleshooting

- Python Programming
- Git Version Control

Preferred Skills

- Delta Lake
- Azure, AWS, or GCP
- Kafka or Streaming Technologies
- CI/CD Pipelines (Azure DevOps, Jenkins, GitHub Actions)
- Data Warehousing Concepts
- Linux/Unix Administration
- Lakehouse Architecture

Qualifications

- Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field.
- 5 10 years of experience in Data Engineering and Big Data technologies.
- Strong expertise in Spark ecosystem and distributed computing.
- Experience building enterprise-scale data platforms and ETL solutions.
- Excellent analytical, problem-solving, and communication skills.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer New Zealand (Hyderabad)
🏢 Technogen India
📍 Hyderabad