Key Responsibilities:

Design, develop, and implement Hadoop-based solutions to support our big data initiatives
Develop and maintain ETL processes for loading data into Hadoop from various sources
Optimize Hadoop clusters for maximum performance and scalability
Troubleshoot and resolve any issues with Hadoop applications and clusters
Collaborate with data scientists and analysts to understand data requirements and design solutions to meet those needs
Continuously improve and optimize existing Hadoop applications and processes
Keep up-to-date with the latest Hadoop and big data technologies and trends
Work with cross-functional teams to ensure smooth integration of Hadoop solutions with existing systems and processes
Create technical documentation and provide training to end-users as needed

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field
Minimum of years of experience in Hadoop development and administration
Proficient in Hadoop ecosystem components such as HDFS, MapReduce, Hive, Pig, Spark, etc.
Strong programming skills in Java, Python, or Scala
Experience with ETL tools and techniques
Knowledge of SQL and relational databases
Experience with data warehousing concepts and methodologies
Strong understanding of data structures and algorithms
Excellent problem-solving and analytical skills
Ability to work independently and in a team environment
Excellent communication and interpersonal skills

Lobox is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Join our team and be a part of our journey towards transforming data into actionable insights.

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