Required Skills and Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
Proven experience as a Spark Developer or in a similar role.
Strong programming skills in Scala, Java, or Python.
Proficiency in using Apache Spark for data processing and analytics.
Experience with big data technologies such as Hadoop, Hive, and Kafka.
Familiarity with data storage solutions like HDFS, S3, or similar.
Knowledge of SQL and experience with relational databases.
Ability to work independently and as part of a team.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.

Preferred Qualifications:
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Understanding of containerization technologies like Docker and Kubernetes.
Knowledge of stream processing frameworks such as Apache Flink or Storm.
Experience with machine learning libraries and frameworks.