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.




Robust 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.

Positive 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 Jaipur
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📍 Jaipur