Cloud Data Engineer Position

18 hours ago

Erode, Tamil Nadu, India beBeeDataEngineering Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
Senior Data Engineer Job Description

We are seeking a seasoned and proficient Senior Python Data Engineer with substantial experience in cloud technologies. This pivotal role plays a crucial part in our data engineering team, where you will design, implement, and optimize data pipelines ensuring seamless integration with cloud platforms.

The ideal candidate will possess a strong command of Python, data engineering principles, and a proven track record of successful implementation of scalable solutions in cloud environments.

  • Data Pipeline Development:
  • Design, develop, and maintain scalable and efficient data pipelines using Python and cloud-based technologies.
  • Implement Extract, Transform, Load (ETL) processes to seamlessly move data from diverse sources into our cloud-based data warehouse.

Required Skills and Qualifications:

We require the following skills and qualifications for this position:

  • Proficiency in Python for data engineering tasks, scripting, and automation.
  • Extensive experience with data engineering frameworks like distributed data processing.
  • Understanding and hands-on experience with workflow management tools like Apache Airflow.
  • In-depth knowledge and hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
  • Familiarity with cloud-native services for data processing, storage, and analytics.
  • Proven expertise in designing and implementing Extract, Transform, Load (ETL) processes.
  • SQL and Databases: Proficient in SQL with experience in working with relational databases (e.g., PostgreSQL, MySQL) and cloud-based database services.
  • Data Modeling: Strong understanding of data modeling principles and experience in designing effective data models.
  • Version Control: Familiarity with version control systems, such as Git, for tracking changes in code and configurations.
  • Collaboration Tools: Experience using collaboration and project management tools for effective communication and project tracking.
  • Containerization and Orchestration: Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
  • Monitoring and Troubleshooting: Ability to implement monitoring solutions and troubleshoot issues in data pipelines.
  • Data Quality Assurance: Experience in implementing data quality checks and validation processes.
  • Agile Methodologies: Familiarity with agile development methodologies and practices.

Benefits:

This is an employee-first company valuing talent and encouraging it to grow. We strive to make Saras a career and not just a job for talented folks who have chosen to work with us.

Others:

We encourage you to apply if you possess the required technical skills and are passionate about leveraging cloud technologies for data engineering. Please submit your resume and a cover letter highlighting your technical expertise and relevant experience.

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