RESPONSIBILITIES:

• Identify, construct, and implement efficient and effective Data Platforms.
• Develop and deploy highly scalable Data pipelines with automation capabilities.
• Construct ETL jobs following architectural guidelines that seamlessly integrate into the data pipeline.
• Collaborate closely with stakeholders, including executives and data teams, to troubleshoot and resolve issues within the Data Platform.
• Propose and implement optimization patterns for both new and existing Data Platforms.
• Select and implement appropriate BI tools in alignment with architectural guidelines.
• Proactively identify performance gaps in solutions and provide expert guidance for improvement.
• Work independently with minimal supervision, demonstrating self-motivation and initiative.
• Articulate problems clearly and efficiently, delivering timely solutions.

QUALIFICATIONS & SKILLS:

• Bachelor’s in Information Technology, Computer Engineering or similar
• Possess a good understanding of the fundamentals of  Big Data principles and architectural patterns.
• Demonstrate deep knowledge of both Batch and streaming data pipelines.
• Good knowledge in cloud infrastructure mainly on AWS with its professional certification would be a plus
• Experience in building the data lakes or similar using the native cloud service like AWS Services or similar.
• Good knowledge in Python, Scala etc and using big data technologies like Spark Engine, Kafka etc. 
• Knowledge and experience in BI looks like Tableau etc.

Experienced Required: 1 - 3 years of experience.

Job Type: Hybrid 

Salary: Negotiable

Benefits:

• Attractive Salary
• Festival Bonus
• Occasional Outing and refreshment program
• Learning and Development Opportunities with advanced certifications mainly on cloud ecosystems. 
• Opportunity for international exposure as per business requirement.

Source: Merojob

Job Detail Expired

Contact Detail