Data Engineer (II)

Job Summary

We are seeking a skilled Data Engineer to join our team at NCR Voyix Corporation. In this role, you will be instrumental in designing, developing, and maintaining robust data pipelines and infrastructure to support our advanced analytics and business intelligence initiatives. You will work with various data sources and technologies to ensure data quality, accessibility, and reliability.

Responsibilities

• Design and implement ELT pipelines using PySpark and Databricks Workflows.
• Implement Data lakehouse architecture and optimize data storage and retrieval for performance and cost efficiency.
• Write efficient, reusable, and scalable Python code for data processing and automation tasks.
• Orchestrate complex workflows using Azure Data Factory and integrate with other Azure services.
• Collaborate with analysts and data scientists to model and deliver trusted datasets.
• Monitor and troubleshoot data pipelines, ensuring high availability and reliability.
• Knowledge of CI/CD pipelines, DevOps practices, and version control (Git).

Required Skills

• 7+ years in data engineering; 2+ years with Databricks.
• Strong PySpark - DataFrames, Spark SQL, window functions, UDFs.
• Advanced SQL - complex joins, CTEs, aggregations, query optimization.
• Experience with Delta Lake - ACID transactions, time travel, schema evolution.
• Familiarity with Unity Catalog, data lineage, and access control.
• Cloud experience: Azure (ADLS Gen2, ADF) or AWS/GCP equivalent.
• Comfortable with Git, notebooks-as-code, and automated testing.
• Knowledge of Finance and Sales domain would be good to have.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.