Senior Cloud Data Engineer

1 week ago

Shimoga, Karnataka, India beBeeData Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

Seeking a seasoned data engineer to join our team.

We are an innovative company that specializes in cloud-based data analytics. Our goal is to provide cutting-edge solutions for businesses to make informed decisions and drive growth.

As a pivotal member of our engineering team, you will play a crucial role in designing, implementing, and optimizing data pipelines, ensuring seamless integration with cloud platforms.

Responsibilities:

Data Pipeline Development

  • Design and develop 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.

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.

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.

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.

Quality Assurance

  • 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.

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.
  • Cloud Platforms: In-depth knowledge and hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
  • SQL and Databases: Proficient in SQL with experience in working with relational databases (e.g., PostgreSQL, MySQL) and cloud-based database services.
  • Containerization and Orchestration: Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).

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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