Visionary Data Engineer Leader

2 days ago


Belgaum, Karnataka, India beBeeSenior Full time ₹ 15,00,000 - ₹ 23,00,000

Data Engineering Role

Our data engineering team is seeking a seasoned and proficient Senior Data Engineer with substantial experience in cloud technologies to play a crucial role in designing, implementing, and optimizing data pipelines.

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Data Pipelines Development:
  • Design and develop 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.
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Cloud Integration:

  • 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.
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Data Modelling and Architecture:

  • 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.
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Optimization and Performance:

  • 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.
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Quality Assurance:

  • Implement data quality checks and validation processes to ensure the accuracy and completeness of data in the cloud-based data warehouse.
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Collaboration and Communication:

  • Work closely with data scientists, analysts, and other teams to understand data requirements and provide technical support.
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Technical Skills:

  • Programming Languages: Proficiency in Python for data engineering tasks, scripting, and automation.
  • 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.
  • 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.
  • Agile Methodologies: Familiarity with agile development methodologies and practices.
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