Senior Full Stack Data Engineer - Methods & Tools

V2 Solutions; Bengaluru; On-site; INR 2,800,000 - 3,600,000; Full time

Job summary

V2 Solutions in Bengaluru is seeking an experienced Full Stack Data Engineer to design robust data pipelines, build scalable data models, and implement ETL processes across diverse sources for applications, analytics, and reporting.

You will work with Python/Java/Scala, SQL/NoSQL databases, cloud platforms (AWS/Azure/GCP), containers (Docker/Kubernetes), and streaming tech like Kafka or Spark Streaming, while ensuring data quality, security, and collaboration across teams.

Qualifications

• 8+ years of experience as a Data Engineer or similar role.
• Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
• Proficiency in Python, Java, or Scala.
• Experience with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Hands-on with cloud platforms (AWS/Azure/GCP) and containers (Docker, Kubernetes).
• Knowledge of data streaming (Kafka, Spark Streaming).
• Front-end fundamentals (JavaScript/HTML5/CSS) and modern frameworks are a plus.

Responsibilities

• Design and develop robust data pipelines to collect, clean, transform, and store data from diverse sources.
• Build scalable data models and databases to support applications, analytics, and reporting.
• Implement efficient ETL processes to ensure data quality and integrity.
• Develop APIs and microservices for data integration across platforms.
• Optimize and tune databases and queries for performance and reliability.
• Ensure compliance with data security and privacy regulations.

Skills

Python

Java

Scala

SQL

NoSQL

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Kafka

Spark Streaming

Job description

Role & responsibilities Exp: 8 - 11 Years (Mandatory ) Location: Bangalore

Responsibilities:

• Design and develop robust data pipelines to collect, clean, transform, and store data from diverse sources.
• Build scalable data models and databases to support applications, analytics, and reporting.
• Implement efficient ETL processes to ensure data quality and integrity.
• Develop APIs and microservices for seamless data integration across platforms.
• Optimize and tune databases and queries for maximum performance and reliability.
• Ensure compliance with data security and privacy regulations.

Qualifications:

• Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred).
• 8+ years of experience as a Full Stack Data Engineer or similar role.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with data streaming technologies (e.g., Kafka, Spark Streaming).
• Solid understanding of front-end technologies (e.g., JavaScript, HTML5, CSS) and modern JavaScript frameworks (e.g., React, Angular, Vue).
• Excellent problem-solving skills and ability to think critically.
• Strong communication and collaboration skills.

Soft Skills

• Ability to work independently and in a team environment.
• Ability to demonstrate effectiveness in holding conversations with customers in a customer‑centric outreach.
• Demonstrate ability to work as a team in a highly collaborative environment.
• Ability to coordinate the efforts of a large team of diverse specialists & experts.
• Ability to lead in an environment of constant change involving multiple internal processes.