Make An Impact By

• Design and implement batch and streaming data ingestion pipelines from diverse sources (e.g., files, APIs, Kafka, databases)
• Develop real-time and near-real-time data workflows using tools like Apache Flink, Kafka Streams
• Optimize performance for high-volume and high-velocity datasets
• Implement data quality checks and automatic monitoring system to ensure consistently accurate and available data
• Design and manage storage solutions such as Microsoft Fabric, Delta Lake, and Databricks
• Apply best practices for schema design, partitioning, and data lifecycle management
• Support data discovery and cataloguing in coordination with governance tools
• Work with data scientists, analysts, and business users to understand data needs and translate them into technical solutions
• Partner with DevSecOps and platform engineers to automate deployment and orchestration of data pipelines
• Document data flows, transformations, and quality checks in accordance with governance standard

Skills to Succeed

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5 years of experience in data engineering
• 1 year in a senior technical role delivering data engineering projects
• Deep expertise in Spark, Databricks, and data processing frameworks
• Strong knowledge of streaming technologies such as Apache Kafka, Apache Flink, or Azure Event Hub
• Experience working with data lake and/or lakehouse architectures such as Hadoop, Delta Lake, Iceberg and Microsoft OneLake
• Proficient in Python and SQL
• Familiar with workflow orchestration (e.g., Apache Airflow) and CI/CD principles
• Analytical mindset with a focus on data quality, performance, and maintainability
• Able to work independently and collaboratively in a dynamic environment
• Strong communication and documentation skills to support cross-functional collaboration
• Knowledge of data types across network and IT in telco environment

To Apply:

Please send your latest CV in word file to pooja@quinnox-solutions.com
Kindly indicate your availability, current and expected remuneration package.
We regret that only shortlisted candidates will be notified.

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