Senior Cloud Data Architect

5 days ago

Rajahmundry, Andhra Pradesh, India beBeeData Full time ₹ 1,81,60,000 - ₹ 2,01,20,000

Job Overview:

Our organization is seeking a skilled Senior Data Engineer to lead the development of scalable data pipelines using Python and cloud-based technologies. As a pivotal member of our data engineering team, you will play a crucial role in designing, implementing, and optimizing data infrastructure on cloud platforms.

Key Responsibilities:

  • Design, develop, and maintain 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.
  • Utilize cloud platforms to deploy, manage, and optimize data engineering solutions.
  • Leverage cloud-native services for storage, processing, and analysis of large datasets.
  • Collaborate with data scientists, analysts, and other stakeholders to design effective data models that align with business requirements.

Technical Requirements:

  • 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.
  • Strong understanding of data modeling principles and experience in designing effective data models.

Preferred Qualifications:

  • 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.

Why Work With Us?

As a Senior Data Engineer at our organization, you will have the opportunity to work collaboratively in a cross-functional team environment, utilizing your technical skills to drive business growth and innovation. Our company values talent and encourages professional development through ongoing training and mentorship opportunities.

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