We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture; as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline design and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will lead our software developers; database architects; data analysts; and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams; systems; and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Responsibilities
- 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
- 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.
- Keep our data separated and secure
- 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.
Mandatory skills: Hadoop; hive; Spark; Kafka; stream processing; Scala/Java; Knowledge on containerization/Kubernetes
Good to have skills are Functional programming; Kafka Connect; Spark streaming; Helm Charts; hands-on experience in Kubernetes
Important Notice:
On behalf of Tesco Bengaluru, we must caution all job seekers and educational institutions that Tesco Bengaluru does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Tesco. Further, Tesco Bengaluru does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events.
Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Tesco Bengaluru shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution.
In the event that you come across any fraudulent activities in the name of Tesco Bengaluru, please feel free report the incident at [email protected]
