Key Responsibilities:

Design, develop, and implement scalable and high-performance Big Data solutions using Hadoop ecosystem technologies such as HDFS, MapReduce, Hive, Pig, Spark, and Kafka
Create and maintain Hadoop clusters, including configuration, installation, and monitoring
Develop ETL processes to extract, transform, and load data from various data sources into Hadoop
Write complex MapReduce programs to process large datasets efficiently
Design and implement data models and data schemas to support data analysis and reporting
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Troubleshoot and resolve issues in Hadoop clusters and ETL processes
Optimize Hadoop clusters for performance and scalability
Stay up-to-date with the latest trends and best practices in Big Data and Hadoop technologies

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field
Minimum of 3 years of experience as a Hadoop Developer or a similar role
Strong experience with Hadoop ecosystem technologies such as HDFS, MapReduce, Hive, Pig, Spark, and Kafka
Experience with ETL tools and processes
Proficiency in programming languages such as Java, Python, or Scala
In-depth understanding of data modeling and data warehousing concepts
Experience with relational databases and SQL
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work independently and in a team environment
Proven track record of delivering high-quality solutions within tight deadlines

If you are a self-motivated, results-driven individual with a passion for Big Data and Hadoop technologies, we would love to hear from you!

Hashtags