Azure Data Engineer

About the Company

A global technology consulting and digital transformation organization delivering enterprise solutions across cloud, data engineering, analytics, AI, automation, and digital platforms. The company serves clients across multiple industries with a strong international presence and expertise in building scalable, cloud-native technology solutions.

Roles & Responsibilities

• Develop and maintain scalable ETL/ELT pipelines.
• Work with large-scale structured and unstructured datasets.
• Build and optimize data processing workflows using modern data engineering tools.
• Collaborate with analytics, business, and engineering teams for data requirements.
• Monitor data quality, performance, and reliability of data systems.
• Support cloud-based data platform initiatives and modernization projects.

Required Skills

• Strong experience in Python and SQL.
• Hands-on experience with Spark/PySpark.
• Exposure to Kafka and Airflow.
• Experience with Azure cloud.
• Knowledge of Databricks, Snowflake, or Delta Lake.
• Good understanding of data warehousing and ETL concepts.

Good to Have

• REST API integration experience.
• Understanding of CI/CD and DevOps practices.
• Experience working in Agile environments.
• Strong analytical and problem-solving skills.