Data Engineer
Role details
Job location
Tech stack
Requirements
You will have a number of years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
Experience in data development and solutions in highly complex data environments with large data volumes.
SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.
Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud).
Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs, Log Files etc)., You will have a number of years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
Experience in data development and solutions in highly complex data environments with large data volumes.
SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.
Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.
You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud).
Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs, Log Files etc).
Please apply ASAP to find out more! Desired Skills and Experience
SQL, PL/SQL, Python, Pandas, Pyspark.
You will have a number of years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
Experience in data development and solutions in highly complex data environments with large data volumes.
