Chief Data Infrastructure Specialist

4 days ago

Anand, Gujarat, India beBeeData Full time ₹ 80,00,000 - ₹ 1,60,00,000
Cloud Data Engineer Role

At our firm, we strive to create value through data-driven decision making. As a pivotal member of our team, you will play a crucial role in designing, implementing, and optimizing data pipelines.

  • Key Responsibilities:
    • Design, Develop, and Maintain Scalable and Efficient Data Pipelines:
      • Utilize Python and cloud-based technologies to design and develop scalable data pipelines.
      • Implement Extract, Transform, Load (ETL) processes to seamlessly move data from diverse sources into our cloud-based data warehouse.
    • Cloud Integration:
      • Deploy, manage, and optimize data engineering solutions on cloud platforms.
      • 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.
  • Required Skills and Qualifications:
    • 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.
    • 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).
    • Monitoring and Troubleshooting:
      • Ability to implement monitoring solutions and troubleshoot issues in data pipelines.
    • Agile Methodologies:
      • Familiarity with agile development methodologies and practices.
  • Benefits:
    • Strong Problem-Solving and Critical-Thinking Abilities:
      • Excellent analytical and problem-solving skills, with the ability to think critically and make sound judgments.
    • Excellent Communication Skills:
      • Effective written and verbal communication skills, with the ability to articulate complex ideas clearly and concisely.
    • Collaboration and Teamwork:
      • Proven ability to work collaboratively in a cross-functional team environment, with excellent interpersonal skills and a positive attitude.
  • Others:
    • Continuous Learning and Development:
      • Commitment to ongoing learning and professional development, with a desire to stay up-to-date with industry trends and best practices.

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