Data Engineer

1 week ago


Gurgaon, Haryana, India Max life insurance co ltd Full time

Job Summary: We are seeking an experienced Data Engineer to join our dynamic team at Max Life Insurance Co Ltd. In this role, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure on the AWS cloud platform.


About the Role: As a senior member of our team, you will work 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:
  1. Architect, design, develop, and maintain large-scale data pipelines that can handle large datasets from multiple sources.
  2. Expertise in real-time data replication and batch processing of data using distributed computing platforms like Spark, Kafka, etc.
  3. Optimize performance of data processing jobs and ensure system scalability and reliability.
  4. Collaborate with DevOps teams to manage infrastructure, including cloud environments like AWS.
  5. Collaborate with data scientists, analysts, and business stakeholders to develop tools and platforms that enable advanced analytics and reporting.
  6. Lead and mentor junior data engineers, providing guidance on best practices, code reviews, and technical solutions.
  7. Evaluate and implement new frameworks, tools for data engineering.

Technical Requirements:
  • Hands-on experience with AWS services such as S3, DMS, Lambda, EMR, Glue, Redshift,RDS (Postgres) Athena, Kinesics, etc.
  • Expertise in data modelling and knowledge of modern file and table formats.
  • Expertise in data replication tool like Qlik replicate, AWS DMS.
  • Proficiency in programming languages such as Python, PySpark, SQL/PLSQL for implementing data pipelines and ETL processes.
  • Experience data architecting or deploying Cloud/Virtualization solutions (Like Data Lake, EDW, Mart ) in enterprise.
  • Knowledge of modern data stack and keeping the technology stack refreshed.
  • Knowledge of DevOps to perform CI/CD for data pipelines.
  • Knowledge of Data Observability, automated data lineage and metadata management would be an added advantage.
  • Cloud/hybrid cloud (preferable AWS) solution for data strategy for Data lake, BI and Analytics.
  • Set-up logging, monitoring, alerting, dashboards for cloud solution and data solution.
  • Experience with data warehousing concepts.

What We Offer:

We offer a competitive salary range of $140,000 - $200,000 per annum, commensurate with experience, plus additional benefits package that includes comprehensive health insurance, retirement plan, and generous paid time off.



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