Vacancy expired!
- Bachelor's degree in Computer Science Engineering, Data Analytics, or a related technical degree.
- 5+ years of experience working with distributed data technologies (e.g. Hadoop, MapReduce,
- Spark, Kafka, Flink etc.) for building efficient, large-scale 'big data' pipelines.
- Strong Software Engineering experience with proficiency in at least one of the following
- programming languages: Java, Python, Scala or equivalent.
- Implement data ingestion pipelines both real time and batch using best practices.
- Experience with building stream-processing applications using Apache Flink, Kafka Streams or
- others.
- Experience with Cloud Computing platforms like Amazon AWS, Google Cloud etc.
- Create and maintain optimal data pipeline architecture,
- 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, etc.
- 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 into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Vacancy expired!