February 4, 2022
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Stockholm, Sweden
February 4, 2022
Apply NowJob description
Kindred is looking for a highly skilled developer to join the Data Engineering team whose vision is to drive and support Kindred to be the most data-driven gambling company in the world!
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 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 segmentations and reporting solutions in both Cloud and On-Prem Data Warehouse.
What you will do
- Design, enhance and implement data ingestion from wider range of data sources like Oracle databases , event sourcing systems , Rest API , SFTP files into our Oracle based data warehouse
- Develop and maintain data and reporting solutions in both Cloud and On-Prem Data Warehouse.
- Developing advanced Oracle PL/SQL, writing and optimizing/tuning queries over large data sets
- Oracle APEX development
- Developing dashboards and reporting solutions (e.g. Qlik Sense)
- Data investigations and problem-solving from internal and external stakeholders
- Setting up Apache Kafka streaming jobs
- Proactively engage with stakeholders and deliver their reporting requirements
- Supporting Data Platforms (including occasional on-call support & incident management)
- Work in an Agile way with open communication, while delivering top quality products and service
Your experience
- Strong background of working with Oracle databases (12c and above) in a Developer/Analyst role using Oracle SQL and PL/SQL.
- Experience with dealing with large data volumes.
- Preferably 5+ years working with data.
- Good understanding of Data Warehouse concepts
- Implementation of ETL processes and data structure
- Experience with tuning of SQL queries, reports and processes
- Experience with developing dashboards and reporting solution for business end-users
- Knowledge of any basic cloud architecture (e.g. AWS)
- Good attitude and willingness to learn new skills and technologies
An advantage
- Experience with reporting tools (e.g. Qlik)
- Hands on experience with cloud data warehouse like AWS Redshift
- Hands on experience on Kafka
- Working knowledge with other programming languages like Python or core Java
- Exposure to other AWS service like S3, Glue, Lambda, EMR
- Experience with building pipeline through Matillion or similar
