Data platform Engineer

• Design, build, and maintain scalable data pipelines and data platforms in cloud environments.
• Develop and optimize data ingestion, transformation, and processing workflows for large-scale datasets.
• Implement CI/CD pipelines, DevOps practices, and Infrastructure-as-Code for data platform deployment and management.
• Work with big data frameworks to process and analyze high-volume data efficiently.
• Ensure data governance, security, and compliance across data platforms.
• Optimize data performance, indexing, and query execution in distributed environments.
• Support real-time and batch data streaming architectures for analytics and operational workloads.
• Collaborate with cross-functional teams to deliver data-driven solutions and platform improvements.

• Bachelor s degree in Technology, Engineering, or a related field.
• 3 5 years of experience in enterprise technology, data engineering, or platform operations.
• Proficiency in TypeScript, C#, Python, SQL, or Scala.
• Hands-on experience with CI/CD pipelines, DevOps practices, and Infrastructure-as-Code (AWS CDK, Azure Bicep).
• Experience with big data technologies such as Apache Spark, Hadoop, Kafka, or Flink.
• Knowledge of cloud platforms including AWS, Azure, or GCP and cloud-native data solutions such as BigQuery, Redshift, Snowflake, or Databricks.
• Understanding of data modeling, data warehousing, distributed systems, and data platform architecture.
• Experience with data ingestion pipelines, governance frameworks, and data security practices.
• Familiarity with multi-cloud environments, performance tuning, and distributed query optimization.
• Exposure to real-time and batch data processing architectures.
• Need to be proficiency with .Net

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