Key Responsibilities:

Design and implement scalable, reliable, and high-performance data pipelines and workflows using technologies such as Hadoop, Spark, and Kafka
Develop and maintain data warehousing solutions to support data analysis and reporting needs
Collaborate with data scientists and analysts to understand their data requirements and provide technical solutions
Identify and implement data quality and governance processes to ensure the accuracy and integrity of our data
Monitor and troubleshoot data pipelines to identify and resolve performance issues
Work with cross-functional teams to gather and analyze data from multiple sources to provide actionable insights
Keep up-to-date with industry trends and best practices in big data technologies and recommend improvements to our existing infrastructure
Mentor and train junior team members to enhance their technical skills and knowledge

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Minimum of 3 years of experience as a Big Data Engineer or in a similar role
Strong programming skills in languages such as Java, Scala, or Python
Experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases
Solid understanding of data warehousing and ETL processes
Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud
Strong problem-solving skills and ability to work in a fast-paced and dynamic environment
Excellent communication and collaboration skills to work effectively with cross-functional teams
Experience with Agile methodologies is a plus

We offer a competitive salary and benefits package, as well as opportunities for career advancement. If you have a passion for big data and want to work with cutting-edge technologies, we would love to hear from you. Apply now and take the first step towards a rewarding career as a Big Data Engineer.

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