Key Responsibilities:

Design, develop and implement big data solutions using Apache Spark
Collaborate with cross-functional teams to gather and understand business requirements
Translate business requirements into technical specifications and design documents
Develop and maintain data pipelines to process large volumes of data in real-time
Optimize and tune data pipelines for performance and scalability
Troubleshoot and debug data processing issues in a timely manner
Ensure data quality and integrity throughout the data pipeline
Stay up-to-date with emerging technologies and best practices in big data processing and analytics

Qualifications:

Bachelor's or Master's degree in Computer Science, IT, or a related field
Minimum of 5 years of experience in software development with at least 2 years of hands-on experience with Apache Spark
Strong programming skills in Java or Scala
Proficiency in SQL and experience with relational databases
Experience with big data technologies such as Hadoop, Hive, and Kafka
Familiarity with machine learning concepts and techniques
Proven track record of delivering complex big data solutions on time and within budget
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work independently and in a team environment

Join our team and be a part of our mission to harness the power of data to drive business success.

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