Owner
CyberBhairava
Ahmedabad, Gujarat, India7h agovia LinkedIn
About the Role
Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives.
Key Responsibilities
- Integrate data from multiple sources, ensuring consistency, reliability, and data quality.
- Collaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows.
- Implement ETL (Extract, Transform, Load) processes for structured and unstructured data.
- Monitor and troubleshoot data systems to ensure performance, security, and efficiency.
- Document data processes, system configurations, and best practices.
Requirements & Tech Stack
- SQL
- Python
- Data pipeline frameworks
- Data warehousing concepts
- Cloud platforms (e.g., AWS, Azure, or Google Cloud)
- Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.
Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
- Proven experience with SQL, Python, and data pipeline frameworks.
- Strong understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, or Google Cloud).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work both independently and collaboratively in a fast-paced environment.