* Design, develop, and implement scalable data engineering solutions using modern Big Data technologies.
* Build and maintain large-scale digital platforms, marketplaces, and data-driven applications.
* Work on complex engineering projects utilizing cloud-native architectures and distributed systems.
* Collaborate with cross-functional teams, architects, and fellow Power Programmers to deliver innovative solutions.
* Participate in end-to-end software development lifecycle activities in Agile environments.
* Develop high-performance data pipelines and data processing frameworks.
* Contribute to the architecture, design, coding, testing, and deployment of enterprise solutions.
* Co-create new products, platforms, and technology accelerators for clients.
* Engage with technology communities, open-source initiatives, and user groups.
* Continuously learn and upskill on emerging technologies and industry trends.

Technology-Big Data-Big Data -ALL,Technology-Big Data - Data Processing-PySpark,Technology-Big Data - Hadoop-Hadoop-Hive,Technology-Data Engineering-Databricks,Technology-Functional Programming-Scala,Technology-Java-Apache-Kafka,Technology-OpenSystem-Python - OpenSystem-Python

* Strong experience in Big Data Technologies
* Hands-on expertise in:
o Apache Spark
o Scala
o Hive
o Kafka
* Strong understanding of distributed data processing and data pipeline development.
* Experience working with cloud platforms and cloud-native architectures.
* Proficiency in software engineering best practices, design patterns, and Agile methodologies.
* Strong problem-solving and analytical skills.