Company:IT Services Organization

Key Skills: Pyspark, Databricks, Spark, Python, Cloud (AWS / Azure / GCP)

Roles and Responsibilities:

- Design and build scalable batch and streaming data pipelines for enterprise data platforms
- Develop and optimize Spark and PySpark jobs for large-volume data processing
- Implement data transformations and curated datasets within Databricks environments
- Integrate data from multiple source systems into cloud-based data platforms
- Support data architecture decisions for reliability, scalability, and maintainability

Skills Required:

- 6.5 to 14.2 years of relevant data engineering experience
- Solid hands-on experience with Spark, PySpark, Python, and Databricks
- Experience designing data pipelines and working with distributed data processing platforms
- Ability to handle large-scale datasets with strong performance and scalability focus
- Experience with cloud-based data environments and production-grade data integration workflows

Good to Have:
- AWS, Azure, or GCP experience
- Delta Lake, Kafka, and Airflow
- Cloud data services and data architecture exposure

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field

📌 Data Engineer (Hyderabad)
🏢 MyCareernet
📍 Hyderabad