Manager - Data Engineering

Axis Max Life Insurance Limited

Gurugram District

On-site

INR 1,800,000 - 3,000,000

Full time

5 days ago
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Job summary

Axis Max Life Insurance Limited is seeking a Data Engineer to design, build, and maintain scalable data pipelines on the AWS cloud, supporting data-driven decision making across business units.

The role requires 5–7 years of data engineering experience with a strong AWS focus, excellent analytical and communication skills, and a collaborative mindset to work with data scientists, analysts, and stakeholders. Bachelor’s degree is required; Master’s preferred.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
  • Proven experience of 5 to 7 years as a Data Engineer or similar role with a strong focus on AWS cloud.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and collaboration skills.
  • AWS certifications (e.g., AWS Certified Big Data - Specialty) are a plus

Responsibilities

  • Design, develop, and maintain large-scale data pipelines that can handle large datasets from multiple sources.
  • Knowledge of real-time data replication and batch processing of data using distributed computing platforms like Spark, Kafka, etc.
  • Optimize performance of data processing jobs and ensure system scalability and reliability.
  • Collaborate with DevOps teams to manage infrastructure, including cloud environments like AWS
  • Collaborate with data scientists, analysts, and business stakeholders to develop tools and platforms that enable advanced analytics and reporting.
  • Lead and mentor junior data engineers, providing guidance on best practices, code reviews, and technical solutions.
  • Evaluating and implementing new frameworks, tools for data engineering
  • Strong analytical and problem-solving skills with attention to detail.
  • To maintain a healthy working relationship with the business partners/users and other MLI departments
  • Responsible for overall performance, cost and delivery of technology solutions

Skills

AWS
Spark
Kafka
Data pipelines
Cloud computing
DevOps collaboration
Analytical thinking
Communication

Education

Bachelor's degree in Computer Science or related field
Master's degree (preferred)

Tools

Spark
Kafka
AWS cloud

Job description

We are seeking a skilled Data Engineer to join our dynamic team. In this role, will be responsible for implementing, and maintaining scalable data pipelines and infrastructure on AWS cloud platform. The ideal candidate will have experience with AWS services, particularly in the realm of big data processing and analytics.

The role involves working closely with cross-functional teams to support data-driven decision-making and focus on delivering business objectives while improving efficiency and ensuring high service quality.

Key Responsibilities -
  • Design, develop, and maintain large-scale data pipelines that can handle large datasets from multiple sources.
  • Knowledge of real-time data replication and batch processing of data using distributed computing platforms like Spark, Kafka, etc.
  • Optimize performance of data processing jobs and ensure system scalability and reliability.
  • Collaborate with DevOps teams to manage infrastructure, including cloud environments like AWS
  • Collaborate with data scientists, analysts, and business stakeholders to develop tools and platforms that enable advanced analytics and reporting.
  • Lead and mentor junior data engineers, providing guidance on best practices, code reviews, and technical solutions.
  • Evaluating and implementing new frameworks, tools for data engineering
  • Strong analytical and problem-solving skills with attention to detail.
  • To maintain a healthy working relationship with the business partners/users and other MLI departments
  • Responsible for overall performance, cost and delivery of technology solutions
Desired Qualifications and Experience -
  • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
  • Proven experience of 5 to 7 years as a Data Engineer or similar role with a strong focus on AWS cloud
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and collaboration skills.
  • AWS certifications (e.g., AWS Certified Big Data - Specialty) are a plus
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