Senior Data Engineer

RE Partners is a fast growing business and technology consultant company co-founded in 2019. They are seeking a Senior Data Engineer to design and build Spark data ETL pipelines on AWS data platform, collaborate with cross-functional teams, and optimize data infrastructure to ensure data quality and reliability.

Responsibilities:

• Design and build Spark data ETL pipelines on AWS data platform
• Collaborate with cross functional teams such as data scientists, fraud, marketing and other business stakeholders to understand their data needs and deliver reliable solutions
• Optimize data infrastructure - Design and maintain robust data infrastructure by using modern data platform architecture
• Ensure data quality and reliability
• Innovate and follow best practices
• Ensure operational excellence of the data platform, including monitoring, incident response, performance optimization, and continuous improvement

Requirements:

• Professional experience working in data warehousing, data architecture, and/or data engineering environments, especially using spark, hadoop, hive etc with solid understanding of streaming pipelines
• Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent)
• Good understanding of databases
• You have built large-scale data products and understand the tradeoffs made when building these features
• You have a deep understanding of system design, data structures, and algorithms
• You have an excellent knowledge of distributed computing frameworks such as Hadoop MapReduce, Spark
• You have a strong knowledge of following AWS infrastructure - EMR, S3, Lambda, Redshift etc
• You have strong understanding of data quality, governance
• You are a team player, self-driven, highly motivated individual who loves to learn new things