Expired on: Jun 1, 2024

Position Type: Full-Time

Job Duties and Responsibilities:

Develop and Analyze the cloud data engineering platforms to ingest and transform enterprise datasets.
Engineer complex data applications to analyze big datasets by using SQL, Java, Python, Databricks, Microsoft Azure, Amazon Web Services.
Engineer optimized data pipelines to extract the data from variety of sources.
Implement the industry standard software data quality methods.
Develop the generative AI programs to run enterprise analytics on unstructured text/image data.
Perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
Build processes that support data transformation, workload management, data structures, dependency and metadata.
Prepare the business requirements, data flow diagrams, data mappings, data dictionary and production support documents.
Participate in team meetings and data platform discussions to collaborate with team members on various data platform initiatives.
Support and maintain production applications, providing support in day-to-day operations.
Analyzing the cloud data engineering platform technologies.
Research and Documenting the Data Engineering best practices.
Exercising the Cloud Data platform solutions to learn and develop the data applications.
Collaborating with team members on various data platform initiatives.

Requirements:

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
1-2 years of experience in data engineering, software development, or a related field.
Experience with cloud services (e.g., AWS, GCP, Azure) is a plus.
Proficiency in at least one programming language (e.g., Python, Java, Scala).
Strong problem-solving skills and attention to detail.
Good communication skills and ability to work collaboratively in a team environment.