Data Engineer Autosys/Unix Pro for Long-Term Support

We are looking for a professional with Autosys and Unix experience to provide 1–2 hours per day of long-term support on an internal project.

Project Overview:
The work involves managing and validating data related to user interactions and/or financial processes, ensuring data consistency, correctness, and smooth flow between multiple upstream and downstream systems.
Job Description:
Relevant experience in the Data Engineering, ApacheSpark
Strong proficiency in PySpark and Apache Spark.
Solid experience with SQL, NoSQL databases (e.g., Hive, HBase, Cassandra).
Hands-on experience with big data frameworks (Hadoop, Kafka, etc.).
Expertise in cloud platforms (AWS, Azure, or GCP).
Proficiency in Python programming and data manipulation.
Knowledge of ETL tools, data lakes, and data warehouses.
Experience in CI/CD, containerization (Docker, Kubernetes) is a plus.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements