Data engineer

• 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.

• Strong experience in Big Data Technologies

• Hands-on expertise in:

• Apache Spark

  • Scala
  • Hive
  • 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.

• Technology-Big Data-Big Data -ALL,Technology-Big Data

• Data Processing-Py Spark,Technology-Big Data

• Hadoop-Hadoop-Hive,Technology-Data Engineering-Databricks,Technology-Functional Programming-Scala,Technology-Java-Apache-Kafka,Technology-Open System-Python

• Open System-Python

Education: MCA,MSc,MTech,Bachelor of Engineering,BTech

• Preferred skills: Technology->Data Engineering->Databricks,Technology->Big Data
• Data Processing->Py Spark,Technology->Big Data->Big Data
• ALL,Technology->Functional Programming->Scala,Technology->Open System->Python
• Open System->Python,Technology->Big Data
• Hadoop->Hadoop->Hive,Technology->Java->Apache->Kafka