Data Engineer

Data Engineer [Python & AWS]#LI-HYBRID #LI-ML1
The role
Kindred is looking for a highly skilled Python developer with AWS EMR/Spark & Kafka experience to join the Data Engineering team.
As a Data Engineer in Kindred, you will be part of the Data Department under the overall Technology organization. Joining this team, you will be responsible for delivering data products end-to-end to support out stakeholders, you will be playing a big part in the way we shape our business by closely collaborating with different stakeholders across the business and ensure they get the most out of the data in terms of reporting, statistics and form the basis of the decision making and analytical processes.
The successful candidate will be responsible for the end-to-end solution from data ingestion, preparation of data to building segmentation and reporting solutions in both Cloud and On-Prem Data Warehouse.


What you will do
Design, build and operationalize data solutions on our AWS data platform
Build data pipelines and applications that handle multiple sources of data to create exceptional quality data products
Design, enhance and implement data ingestion from wider range of data sources into our Data platform.
Develop and maintain data and reporting solutions in both Cloud and On-Prem Data Warehouse.
Proactively engage with stakeholders and deliver their data products requirements.
Supporting Data products maintenance and monitoring initiatives (including occasional on-call support & incident management).
Work in an Agile way with open communication, while delivering top quality products and services.


About you
To be successful in this role you will be able to demonstrate many of the following attributes.
Advanced experience as a Python Developer with excellent knowledge of SQL.
Extensive knowledge and hands on experience on Apache Spark/EMR, AWS Glue & Lambda.
Hands on experience on deployment using Jenkins CI/CD process.
Experience with Apache Airflow & Step functions.
Proficiency in design and architecture of complex data-centric systems on AWS.
Building data pipelines, production quality APIs and products.
Experience interacting with and handling varied data sets and data pipelines, using a range of data technologies, including Redshift, Oracle, RDS PostgreSQL and Apache Kafka or equivalent technologies.
Experience deploying software into containerised environments, including Docker and Kubernetes.
A problem-solving growth mindset with the ability to pick up new tools and concepts quickly
Open-mindedness, able to interact in a constructive manner with the Data Engineering teams, stakeholders and other contributors to Data solutions.



In addition, it would be an advantage if you also have:
Experience with reporting tools (e.g. Quicksight, Power BI).
Working knowledge with Java.
Experience with cloud formation and terraform.
Experience with building pipeline through Matillion or similar.



Application Process
Click on the "Apply Now" button and complete the short web form. Please add a covering letter in English to let us know your motivation for applying and your salary expectation. Our Talent Acquisition team will be in touch soon.


Kindred is an equal opportunities employer committed to employing a diverse workforce and an inclusive culture. As such we oppose all forms of discrimination in the workplace. We create equal opportunities for all our applicants and will treat people equally regardless of and not limited to, gender, age, disability, race, sexual orientation. We are committed not only to our legal obligations but also to the positive promotion that equal opportunities bring to our operations as set out in our sustainability framework.
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