Key Responsibilities:

Design and implement highly scalable, reliable, and efficient big data systems using cutting-edge technologies.
Collaborate with cross-functional teams to understand business requirements and recommend appropriate big data solutions.
Develop and maintain data pipelines to ingest, process, and transform large volumes of data from various sources.
Design and implement data models to support data analytics and reporting needs.
Monitor and troubleshoot performance issues in the big data infrastructure.
Develop and maintain data quality and governance processes to ensure the accuracy and integrity of the data.
Stay updated with the latest trends and advancements in big data technologies and continuously evaluate and recommend new tools and frameworks to improve our data infrastructure.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Minimum of 8 years of experience working with big data technologies such as Hadoop, Spark, Kafka, etc.
Strong experience in designing and developing data pipelines and ETL processes.
Expertise in programming languages such as Java, Python, Scala, etc.
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Proven experience in data modeling, data warehousing, and data governance.
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills with the ability to collaborate with cross-functional teams.
Experience in leading and mentoring a team of big data engineers is a plus.

As a Principal Big Data Engineer, you will have the opportunity to work in a fast-paced and innovative environment, where your contributions will have a significant impact on the success of our big data initiatives. We offer a competitive salary, comprehensive benefits package, and opportunities for career growth and development.

Join our team and be a part of our journey to transform data into valuable insights.

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