Our client is a leading technology company HQ'd in singapore along with presence in India,aiming to be the trusted partner in one's digital transformation, data engineering and cloud adoption journey. They are a cloud consulting company, solving cloud challenges through excellence in technology.

 We are looking for a Senior Data Engineer who is passionate about solving complex Big Data problems.

• An ideal candidate should have a minimum 5+ years of
• Experience in using big data tools: Hadoop, Spark, Kafka, etc.
• Experience in using relational SQL and NoSQL databases
• Experience in using AWS cloud services: EC2, EMR, RDS, Redshift
• Experience in using object-oriented/object function scripting languages: Python

Requirements

Your responsibilities include:

• Create and maintain optimal data pipeline architecture for our client’s product
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights, operational efficiency, and other key business performance metrics.
• Work with client’s stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.