Job Summary:

We are looking for an experienced Data Engineer with 5+ years of experience to design, develop, and maintain scalable data solutions. The ideal candidate should have expertise in building and optimizing data pipelines, working with cloud-based data platforms, and delivering high-quality data engineering solutions in an Agile setting.

Key Responsibilities:

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build and optimize data engineering solutions for performance, scalability, and reliability.
- Develop and maintain data integration processes across multiple systems.
- Work with cloud-based data platforms and distributed computing frameworks.
- Optimize data storage, processing, and database performance.
- Collaborate with cross-functional teams to understand business requirements and deliver data solutions.




- Troubleshoot and resolve complex data engineering issues.
- Mentor junior team members and support technical decision-making.
- Follow Agile development methodologies and software engineering best practices.

Mandatory Skills:

- Data Engineering
- Data Pipeline Development
- ETL/ELT Development
- Cloud Data Platforms (AWS/Azure/GCP)
- SQL
- Python or Scala
- Distributed Computing Frameworks (Spark/PySpark preferred)
- Database Management
- Data Warehousing
- Scripting and Automation

Preferred Skills

- Apache Spark / PySpark
- Airflow or other workflow orchestration tools
- Big Data technologies
- Performance tuning and optimization
- CI/CD knowledge
- Agile/Scrum methodology

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📌 Data Engineer (Hyderabad)
🏢 Experis
📍 Hyderabad