Job Role:-Data platform Engineer
Job Location:- India/Remote
Experience:- 3-5Years
Roles & Responsibilities- 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.
Skills & Requirements- Bachelor's degree in Technology, Engineering, or a related field.
- 35 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
