Job Responsibilities:
• Design and develop data ingestion solutions for big data.
• Build efficient and reliable data processing solutions.
• Design and implement data storage solutions.
• Develop scalable data pipelines for ingestion, transformation, and storage of large datasets.
• Optimize data pipelines for real-time and batch processing.
• Ensure data quality and integrity throughout the data pipeline by implementing effective data validation and monitoring strategies.
Job Requirements:
• Minimum 1-2 years of designing and implementing ETL solutions.
• Bachelor's degree or higher in Computer Science, Engineering, or a related field. • Familiar with AWS data ingestion and processing tools like FluentBit, Kinesis, and Glue.
• Strong expertise in big data technologies such as Apache Spark.
• Experience with AWS data storage solutions including S3, Redshift, Iceberg, Aurora.
• Proficiency in programming languages including Python, Scala, and Java.
• Preferred certification and/or hands-on experience with AWS data services.
• Attention to detail and a strong commitment to delivering high-quality solutions. • Strong problem-solving skills and the ability to work effectively in a fast-paced environment.
• Work well in a team.
• Excellent communication and interpersonal skills.
Next Step:
Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package.
Simply click on 'Apply here' to drop your resume or email at [email protected]
All shortlisted candidates will be contacted.
Saghana Sithara | Registration Number: R1550224
