Key Responsibilities:

Design, develop, and implement scalable and high-performance big data solutions using cutting-edge technologies.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop data pipelines and ETL processes to ingest, transform, and load data from various data sources.
Design and implement data models to support business analytics and reporting.
Perform data analysis to identify patterns, trends, and insights that drive business decisions.
Develop and maintain data warehouse and data lake solutions.
Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
Optimize and tune big data solutions for performance and scalability.
Develop and maintain documentation for all developed solutions.
Stay updated with the latest trends and advancements in big data technologies and provide recommendations for improvement.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Minimum of years of experience in a similar role.
Strong experience with big data technologies such as Hadoop, Spark, Kafka, Hive, etc.
Proficient in programming languages such as Java, Python, or Scala.
Hands-on experience with SQL and NoSQL databases.
Experience with data warehouse and data lake concepts.
Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
Strong analytical and problem-solving skills.
Excellent communication and teamwork skills.
Ability to manage multiple projects and meet tight deadlines.

At Lobox, we value diversity and are committed to creating an inclusive and welcoming work environment. We offer competitive salaries, a comprehensive benefits package, and opportunities for career growth and development.

Join our team and be part of a fast-paced, innovative, and collaborative environment.

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