Homeoffice Senior Data Engineer / Architect na None

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 15th 2025)

• Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks.
• Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights.
• Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks.
• Ensure data quality, integrity, and security throughout all stages of the data lifecycle.
• Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions.
• Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features.
• Provide technical guidance and expertise to junior data engineers and developers.
• Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering.
• Contribute to the continuous improvement of data engineering processes, tools, and best practices.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, or a related field.
• 10+ years of experience as a Data Engineer, Software Engineer, or similar role, with a focus on building cloud-based data solutions.
• Strong knowledge and experience with Azure cloud platform, Databricks,EventHub,Architecture,Spark,Kafka, ETL Pipeline,Python/Pyspark, SQL EventHub, Copilot Studio..
• Strong experience with cloud platforms such as Azure .
• Experience with big data systems, including Apache Spark / Kafka 

• Experience contributing to the architecture and design of large-scale distributed systems 

• Expertise in Databricks Lakehouse Platform, its architecture, and its capabilities. 

• Experience building production pipelines using Databricks and Azure services  
• Experience with multiple coding languages such as Python or SQL.