Senior Data Engineer

Role & responsibilities

Job Title:

About the Role:

Senior Data Engineer

Key Responsibilities:

• Design and develop scalable, low-latency data pipelines to ingest, process, and stream massive amounts of structured and unstructured data.
  
• Collaborate cross-functionally to clean, curate, and transform data to meet business needs.
  
• Integrate privacy and security controls into CI/CD pipelines for all data flows.
  
• Embed operational excellence practices including error handling, monitoring, logging, and alerting.
  
• Continuously improve reliability, scalability, and performance of data systems while ensuring high data quality.
  
• Own KPIs related to platform performance, data delivery, and operational efficiency.
  

Required Skills & Experience:

• 5+ years

  of hands-on experience in cloud-native, real-time data systems with strong emphasis on

  streaming, scalability, and reliability

  .
• Proficiency in real-time data technologies such as

  Apache Spark, Apache Flink, AWS Kinesis, Kafka, AWS Lambda, EMR/EKS

  , and

  Lakehouse platforms

  like

  Delta.io / Databricks

  .
• Strong expertise in

  AWS architecture

  , including infrastructure automation, CI/CD, and security best practices.
• Solid understanding of

  SQL, NoSQL, and relational databases

  along with

  SQL tuning

  .
• Proficient in

  Spark-Scala, PySpark, Python

  , and/or

  Java

  .
• Experience in

  containerized deployments

  using

  Docker, Kubernetes, Helm

  .
• Familiarity with monitoring systems for

  data loss detection and data quality assurance

  .
• Deep knowledge of

  data structures, algorithms

  , and data engineering design patterns.
• Passionate about continuous learning and delivering reliable, high-quality solutions.
  

Nice to Have:

• Certifications in AWS or Big Data technologies
  
• Experience with data governance and compliance frameworks
  
• Exposure to ML pipelines or AI data workflows
  

Why Join V2Soft?

• Work with cutting-edge technologies in a fast-paced and collaborative environment
  
• Opportunity to contribute to innovative, high-impact data initiatives
  
• Supportive team culture and career growth opportunities
  

How to Apply: