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Chief Data Architect

3 weeks ago

Kozhikode, Kerala, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
About Us

We are a leading ecommerce focused end-to-end data analytics firm assisting enterprises and brands in driving business value through data-driven decision making.

Our suite of services spans data extraction, transformation, visualization, and analysis delivered via industry-leading solutions.

We have a world-class data team that understands the story behind the numbers and articulates it to CXOs, creating value for our customers.

We operate at the intersection of data analytics and ecommerce, two game-changing fields.

We are an employee-first company valuing talent and encouraging growth without compromising on customer value.

The Role

We are seeking an experienced Senior Python Data Engineer with substantial cloud technology expertise.

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

The ideal candidate will possess a strong command of Python, data engineering principles, and a proven track record of successful implementation of scalable solutions in cloud environments.

Data Engineering Responsibilities:
  • Design, develop, and maintain 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 stakeholders to design effective data models aligning with business requirements.
  • Ensure the scalability, reliability, and performance of the overall data infrastructure on cloud platforms.
Key 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.

If you possess the required technical skills and are passionate about leveraging cloud technologies for data engineering, we encourage you to apply. Please submit your resume and cover letter highlighting your technical expertise and relevant experience.