Senior Data Engineer / Architect

Experience Required : 8+Years

Mode of work : Remote

Skills Required : Azure DataBricks, Eventhub, Kafka, Architecture, Azure Data Factory, Pyspark, Python, SQL, Spark

Notice Period : Immediate Joiners / Permanent / Contract role (Can join within September 29th 2025)

• Translate business rules into technical specifications and implement scalable data solutions.
• Manage a team of Data Engineers and oversee deliverables across multiple markets .
• Apply performance optimization techniques in Databricks to handle large-scale datasets.
• Collaborate with the Data Science team to prepare datasets for AI / ML model training.
• Partner with the BI team to understand reporting expectations and deliver high-quality datasets.
• Perform hands-on data modeling , including schema changes and accommodating new data attributes.
• Implement data quality checks before and after data transformations to ensure reliability.
• Troubleshoot and debug data issues, collaborating with source system / data teams for resolution.
• Contribute across project phases : requirement analysis, development, code review, SIT, UAT, and production deployment .
• Utilize GIT for version control and manage CI / CD pipelines for seamless deployment across environments.
• Adapt to dynamic business requirements and ensure timely delivery of solutions.

Requirements