Senior Cloud Data Engineer

5 days ago

Palakkad, Kerala, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

As a seasoned Data Engineer, you will play a pivotal role in shaping our data infrastructure within AWS.

Data Engineer with AWS II

This is a contract-to-hire position that requires overlap hours in IST and UK. Your responsibilities will include optimizing data flows within AWS, developing scalable ETL processes and APIs, troubleshooting data issues, and documenting solutions for compliance and future reference.

About the Role:

You will work closely with cross-functional teams to gather requirements and address complex data challenges. Key aspects of this role include designing and implementing robust data pipelines using AWS, Python, and SQL to support business analytics and decision-making across multiple domains (e.g., sales, finance, operations).

  • Key Responsibilities:
  • Design and implement robust data pipelines using AWS, Python, and SQL to support business analytics and decision-making across multiple domains (e.g., sales, finance, operations).
  • Ensure data integrity and performance of data processing and storage systems.
  • Optimize data flows and architecture within AWS to enhance performance, scalability, and reliability.
  • Develop and maintain scalable and efficient ETL processes and APIs for data interaction.
  • Collaborate with cross-functional teams to gather and address technical and design requirements.
  • Maintain and enhance data models and databases to support diverse enterprise applications.
  • Monitor and troubleshoot operational or data issues in the data pipelines.
  • Continuously improve systems and processes by integrating new tools and technologies.
  • Document all data engineering procedures and solutions for future reference and compliance.
Requirements:

We are seeking an experienced professional with expertise in AWS services such as S3, EC2, RDS, Redshift, and AWS Glue. Proficiency in Python, with a solid understanding of libraries and frameworks for data engineering (e.g., Pandas, PySpark) is also essential. Strong command of SQL for creating, managing, and optimizing data structures and complex queries is required.

  • Essential Skills:
  • Expertise in AWS services such as S3, EC2, RDS, Redshift, and AWS Glue.
  • Proficiency in Python, with a solid understanding of libraries and frameworks for data engineering (e.g., Pandas, PySpark).
  • Strong command of SQL for creating, managing, and optimizing data structures and complex queries.
Qualifications:

A minimum of two years of experience in data engineering or a related field is required. A strong proficiency in building and maintaining data pipelines in AWS environments, along with experience with Python for scripting and data manipulation, is also necessary. Advanced SQL knowledge for complex querying and database interaction is preferred.

  • Preferred Qualifications:
  • Minimum of Two years of experience in data engineering or a related field.
  • Strong proficiency in building and maintaining data pipelines in AWS environments.
  • Experience with Python for scripting and data manipulation.
  • Advanced SQL knowledge for complex querying and database interaction.

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