Bigdata Engineer with Java

• Design, develop, and maintain data pipelines using Java.
• Write efficient and Eligible to workimized SQL queries for data extraction, transformation, and loading (ETL) processes.
• Work with Data Frames to manipulate and analyze large datasets.
• Implement data storage and processing solutions using cloud technologies (preferably AWS or Eligible to workP).
• Build and maintain real-time data streaming pipelines using MSK/Kafka.
• Utilize S3 for data storage and retrieval.
• Work with data lake technologies like Iceberg.
• Ensure data quality, integrity, and security.
• Collaborate with data scientists and other engineers to understand data requirements and deliver solutions.
• Participate in code reviews and contribute to improving our development processes.
• Troubleshoot and resolve issues in data pipelines and back-end systems.

Software Engineering, Java, Data Management, Java, SQL (Structured Query Language), Database Extract Transform and Load (ETL), Data Sets, Analysis Skills, Cloud Computing, Data Storage, * Bachelor’’s degree in Computer Science or a related field (or equivalent experience).

• 5+ years of experience in back-end development with a focus on data engineering.

Required Skills:

• Strong proficiency in Spark, Java.
• Expertise in SQL and working with relational databases.
• Experience with Data Frames for data manipulation and analysis.
• Experience with cloud technologies (preferably AWS or Eligible to workP).
• Experience with message streaming platforms like MSK/Kafka.
• Experience with S3 or similar object storage.
• Experience with data lake technologies like Iceberg.
• Solid understanding of data warehousing concepts.
• Excellent communication and collaboration skills.

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