Data Engineer - Data Engineering 4A

Overview

Develop and maintain data engineering solutions, including ingestion processes, data storage and retrieval, and ETL pipelines for data lakes and warehouses.

What you'll do

• Develop and implement data ingestion processes.
• Design and optimize data storage and retrieval solutions.
• Build and maintain ETL processes to transform and load data into data lake/warehouse.
• Collaborate with data scientists and analysts to understand data requirements and deliver relevant datasets.
• Troubleshoot and resolve data-related issues.
• Ensure data quality and integrity in the data pipelines.
• Research and evaluate new data technologies and tools for continuous improvement.

What you'll need

• IDMC.
• CAI.
• Bachelor's in Business Analytics, Computer Science, or Statistics.
• Master's in Data Science.
• Certified Data Management Professional - Riversand.
• Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy.
• Databricks Certified Associate Developer for Apache Spark - Databricks Academy.
• Microsoft Certified: Azure Data Engineer Associate - Microsoft.
• Oracle Database 12c Certified Implementation Specialist - Oracle.
• Informatica MDM.
• English language proficiency at Proficient - C2 level.

Details

• Work mode: Hybrid.
• Work shift: Variable (India).
• Employment type: Regular.