PowerToFly
MARKS&SPENCER
PowerToFly
PowerToFly
Clutch Canada
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A leading data-driven gambling company is looking for a talented Data Engineer to enhance data utility and enable insightful reporting. In this role, you will design and implement data ingestion, develop PL/SQL queries, and create dashboards using tools like Qlik Sense. The ideal candidate has over 5 years of experience with Oracle databases, understands Data Warehouse concepts, and is familiar with AWS. This is an exciting opportunity to work in an Agile environment and contribute to data-driven decision-making.
FDJ is on the lookout for a talented Data Engineer to help us become one of the leading data-driven gambling companies. In this dynamic position within our Data Department, you'll collaborate with diverse stakeholders to maximize data utility, enabling insightful reporting and data-driven decision-making.
Design and implement seamless data ingestion from various sources (Oracle databases, APIs, SFTP files) into our Oracle data warehouse.
Develop and optimize advanced PL/SQL queries on large datasets.
Create engaging dashboards and reporting solutions using tools like Qlik Sense.
Manage both Cloud and On-Prem Data Warehouse solutions.
Conduct data investigations to solve challenges for internal and external stakeholders.
Set up Apache Kafka streaming jobs for real-time data processing.
Engage proactively with stakeholders to meet their reporting needs.
Provide support for Data Platforms, including on-call and incident management.
Embrace an Agile working environment with open communication, delivering top-notch products and services.
Proven experience with Oracle databases (12c and above), utilizing SQL and PL/SQL.
A solid track record (5+ years) in handling large datasets.
Strong understanding of Data Warehouse concepts and ETL processes.
Expertise in tuning SQL queries and reporting solutions.
Familiarity with basic cloud architectures, preferably AWS.
A passion for learning new skills and technologies.
Experience with reporting tools like Power BI or AWS QuickSight.
Hands-on experience with cloud data warehouses, such as AWS Redshift.
Proficiency with Kafka and programming languages like Python or Java.
Familiarity with AWS services like S3, Glue, Lambda, and EMR.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.