Data Engineer - Data Engineering 4A

Overview

Develop and maintain data engineering solutions, including ingestion, storage, retrieval, ETL, and data pipelines.

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 lakes or warehouses.
• 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 data pipelines.
• Research and evaluate new data technologies and tools for continuous improvement.

What you'll need

• Experience with IDMC.
• Experience with CDI.
• Experience with either one of C360, V360, or R360.
• Bachelor's degree in Business Analytics, Computer Science, or Statistics, or a Master's degree in Data Science.
• Informatica MDM skills.
• Proficient English language proficiency at C2 level.

Nice to have

• Certified Data Management Professional - Riversand certification.
• Databricks Certified Associate Developer for Apache Spark 3.0 certification.
• Databricks Certified Associate Developer for Apache Spark certification.
• Microsoft Certified: Azure Data Engineer Associate certification.
• Oracle Database 12c Certified Implementation Specialist certification.

Details

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