Key

Skills:
AWS Cloud, Databricks, Python, Spark, Hadoop, Big Data Roles and

Responsibilities:
• Design and implement scalable batch and streaming data processing solutions using Apache Spark, Python, and Databricks.
• Develop and maintain cloud-based data engineering solutions on AWS.
• Integrate data from relational databases, enterprise applications, files, and other source systems.
• Analyze and improve Spark job performance, reliability, and resource utilization.
• Provide technical guidance on distributed data processing architecture and large-scale data solutions. Skills Required:
• 5
- 9 years of experience in data engineering, big data, distributed computing, or cloud data platforms.




• Solid hands-on experience with Apache Spark and distributed computing principles.
• Proficiency in Python for data engineering and backend data processing.
• Practical experience designing and implementing data solutions on AWS Cloud.
• Experience with Databricks for data engineering, Spark workloads, and production data pipelines. Good to Have:
• Experience with Hadoop ecosystem technologies and large-scale Big Data platforms.

Education:
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

📌 Data Software Engineer(AWS)_105540 (Jaipur)
🏢 MyCareernet
📍 Jaipur