Cloud Native Data Engineering Leader

3 days ago

Alwar, Rajasthan, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title

Senior Data Engineer Position Available

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We are seeking an experienced Senior Python Data Engineer to join our data engineering group. As a key member, you will play a crucial role in designing, implementing, and optimizing data pipelines.

">Responsibilities
  • Design, develop, and maintain scalable and efficient data pipelines using Python and cloud-based technologies.
  • Implement Extract, Transform, Load (ETL) processes to move data from diverse sources into our cloud-based data warehouse.
  • Utilize cloud platforms (e.g., Google Cloud, AWS, Azure) 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.
  • Ensure the scalability, reliability, and performance of the overall data infrastructure on cloud platforms.
  • Continuously optimize data processes for improved performance, scalability, and cost-effectiveness in a cloud environment.
  • Monitor and troubleshoot issues, ensuring timely resolution and minimal impact on data availability.
  • Implement data quality checks and validation processes to ensure the accuracy and completeness of data in the cloud-based data warehouse.
Requirements
  • Programming Languages: Proficiency in Python for data engineering tasks, scripting, and automation.
  • Data Engineering Technologies: Extensive experience with data engineering frameworks like distributed data processing.
  • Understanding and hands-on experience with workflow management tools like Apache Airflow.
  • Cloud Platforms: In-depth knowledge and hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
  • ETL Processes: 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.
Soft Skills
  • Strong problem-solving and critical-thinking abilities.
  • Excellent communication skills, both written and verbal.
  • Ability to work collaboratively in a cross-functional team environment.
  • Attention to detail and commitment to delivering high-quality solutions.

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