Description

• Design and develop large-scale data processing systems and architectures.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions.
• Evaluate and implement appropriate big data technologies and tools.
• Ensure data quality, integrity, and security across the data lifecycle.
• Optimize existing data architectures and workflows for performance and cost-efficiency.
• Provide technical leadership and guidance to junior team members.
• Stay updated on industry trends and emerging technologies in big data and analytics.

Qualifications:
Skills and Tools Required:

• Extensive experience with big data technologies such as Hadoop, Spark, and Kafka.
• Proficiency in programming languages such as Java, Scala, or Python.
• Design scalable, secure data pipelines, data warehouses, and data lakes capable of processing petabytes of data.
• Strong knowledge of data modeling, ETL processes, Medallion, and data warehousing concepts.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with database technologies including NoSQL, SQL, and data lakes.
• Excellent problem-solving and analytical skills.
• Effective communication and teamwork abilities.
• Relevant certifications in big data or cloud technologies are a plus.
• Experience: 6 Years to 8 Years
• Extensive experience with big data technologies such as Hadoop, Spark, and Kafka.
• Proficiency in programming languages such as Java, Scala, or Python.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Relevant certifications in big data or cloud technologies are a plus

Key Skills

Education

Bachelor's degree