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Data Engineer Position Available

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Mount Abu, Rajasthan, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

As a seasoned Python Data Engineer, you will play a pivotal role in designing, implementing and optimizing data pipelines to ensure seamless integration with cloud platforms.

Key Responsibilities:

  • 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.
  • 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.
  • 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.
  • Collaborate with cross-functional teams to identify and address data quality issues.
  • Work closely with data scientists, analysts and other teams to understand data requirements and provide technical support.
  • Collaborate with other engineering teams to seamlessly integrate data engineering solutions into larger cloud-based systems.
  • Create and maintain comprehensive documentation for data engineering processes, cloud architecture and pipelines.

Technical Skills:

  • 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.
  • Familiarity with cloud-native services for data processing, storage and analytics.
  • 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 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 and orchestration tools.
  • 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.