Expert Data Engineer

1 week ago

Shimoga, Karnataka, India beBeeDataEngineering Full time ₹ 20,00,000 - ₹ 25,00,000
Data Engineering Expert

We are seeking an experienced data engineering expert to join our product engineering team at a leading company.

As a key member, you will be responsible for designing, developing, and maintaining data pipelines and ETL processes using AWS services. You will work with SQL databases for data modeling, queries, and performance optimization.

You will implement and optimize solutions using AWS services such as S3, Lambda, Glue, Redshift, RDS, and EC2. Ensuring data security, reliability, and compliance within cloud environments is also a critical aspect of this role.

  • Key Responsibilities:
  • Design, develop, and maintain data pipelines and ETL processes using AWS services.
  • Write efficient, reusable, and scalable code in Python.
  • Work with SQL databases for data modeling, queries, and performance optimization.
  • Implement and optimize solutions using AWS services such as S3, Lambda, Glue, Redshift, RDS, and EC2.
  • Ensure data security, reliability, and compliance within cloud environments.
  • Collaborate with data scientists, analysts, and application developers to enable advanced analytics and reporting.
  • Troubleshoot, optimize, and monitor data workflows and cloud resources.
  • Maintain documentation of system architecture, processes, and best practices.

Must-Have Skills:

  • AWS Certification (Solutions Architect, Developer, or Data Analytics – Associate/Professional).
  • Hands-on experience with AWS cloud services (S3, Lambda, EC2, RDS, Glue, Redshift, IAM).
  • Strong programming skills in Python (data handling, APIs, automation).
  • Solid knowledge of SQL (queries, joins, stored procedures, performance tuning).
  • Strong problem-solving and debugging skills.

Good-to-Have Skills:

  • Experience with data warehousing and big data frameworks.
  • Familiarity with containerization (Docker, Kubernetes).
  • Knowledge of CI/CD pipelines and infrastructure as code (Terraform/CloudFormation).
  • Exposure to machine learning pipelines in AWS (SageMaker).

About the Opportunity:

This is a great chance to work with a talented team and contribute to the development of innovative data engineering solutions.

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