Data Engineering

Qualifications
Minimum Qualifications
• Bachelor's Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
• 5 years of experience in Data Engineering, Data Lake, Data Mesh, Data Warehousing/ETL
• 5 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
• Experience working with Continuous Integration/Continuous Deployment tools with Git, Bitbucket, Jenkins.
• 5 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions

Data Engineering
5 years of experience in Hadoop, Google Cloud(GCP) and Bigdata components (specific to the Data Engineering role)
Expertise in advanced Python, advanced SQL, PySpark (Spark Batch and Streaming), Airflow, Kafka.
Exposure to REST API creation and usage
Experience in functional programming, test first architecture (unit testing and regression testing), OOPS concepts(classes and objects).
Exposure in MicroStrategy, Oracle, MySql, SQL Server, DB2, Teradata is a plus.