RQ11099 - DataOps/Cloud Data Engineer - Senior

MUST HAVES:

· Data engineering (pandas, pyspark)

· Data lakehouse solutions such as Databricks (Delta Lake).

· Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data

· Experience using AWS Services such as Glue, StepFunctions, Lambda, S3

· Extract/Transform/Load data using tools such as Informatica IDMC

Experience and Skill Set Requirements

Data engineering Experience

• Programming & scripting: Python, SQL, Linux shell, PowerShell.
• Data manipulation/analysis using pandas and pyspark.
• Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data

40%

Cloud experience

• AWS and/or Azure services.
• Cloud data warehouse solutions such as AWS Redshift.
• Data lakehouse solutions such as Databricks (Delta Lake).
• Data processing orchestration/automation