Data Engineer
Data Engineer
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Job Description
Casumo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Join us at Casumo where you are invited to be your authentic YOUMO!
Company Overview:
Welcome to Casumo your passport to a world of fun excitement and responsible gaming. Were an international online casino company with a knack for creating unforgettable gaming experiences. Our secret sauce A blend of innovation security and a dash of playful charm.
Nowadays were on the hunt for a dynamic Data Engineer to join our team!
Position Overview:
Were looking fora Data Engineer to build and maintain our data pipelines and infrastructure crucial for our operations in the gaming industry. Youll ensure data is efficiently ingested processed and stored supporting our data analysis and reporting needs and ultimately enhancing the player experience.
Responsibilities:
- Work closely with business analystsdata analysts data scientists and other stakeholders to understanddata requirements and deliver solutions that meet business needs.
- Implement data ingestion processes tomove structured semistructured and unstructured data from varioussources into the data lake.
- Design develop and maintain robustETL/ELT pipelines to extract transform and load data into the datawarehouse ensuring data qualityconsistency and integrity.
- Orchestrate and automate data workflowsensuring timely and reliable data processing.
- Implement data cleansing enrichmentand normalisation to prepare data for downstream analysis.
- Implement and manage realtime datastreaming solutions ensuring that realtime data is accuratelycaptured processed and made available for immediate analytics andreporting.
- Continuously monitor troubleshoot andoptimise the performance of data workflows.
- Manage and optimise a data lakeensuring efficient storage retrieval and processing of largescaledatasets.
- Develop data models and schemas withinthe data warehouse using dimensional modelling techniques to supportanalytical reporting and querying.
- Implement best practices for datawarehousing based on Kimball Data Warehouse Lifecycle methodologyensuring data is organised scalable and performant.
- Implement data partitioning bucketingand indexing strategies to enhance query performance.
- Implement rolebased access controlsencryption and other security measures to protect sensitive data.
- Contributeto the implementation of Data Lakehouse architectures.
- Evaluate and integrate new technologiesto enhance the existing data architecture and support Data Lakehouseuse cases.
- Maintain comprehensive documentation forall data processes pipelines and architecture components.
- Ensure that all data engineeringpractices comply with company policies and standards.
Requirements:
- Bachelors degree in computer scienceinformation systems data engineering or a related field.
- 3 years of experience as a DataEngineer with a focus on backend development including buildingand maintaining data pipelines data lakes and data warehouses inAWS/GCP environments.
- Advanced SQL skills and proficiency inscripting languages (e.g. Python) for data processing andautomation.
- Strong experience with managing anddeveloping data workflows by using a tool such as Apache Airflow.
- Proficiency in Amazon Glue or similartools for ETL development.
- Knowledge of realtime data streamingtechnologies such as Apache Kafka is a plus.
- Experience with data lake and datawarehouse implementations.
- Familiarity with Data Lakehousearchitectures and experience with tools like Google Big QuerySnowflake or Databricks is highly desirable.
- Strong understanding of AWS and/or GCPcloud data services.
- Strong analytical skills with theability to diagnose issues in complex data workflows.
- Strong documentation skills withattention to detail in managing data processes and documentation.
- Ability to troubleshoot and resolveperformance bottlenecks in data processing pipelines.
- Experience managing multiple projectssimultaneously and delivering them on time.
- Ability to translate technical conceptsinto businessfriendly language.
- Good communication skills to collaborateeffectively with crossfunctional teams and stakeholders.
- Eagerness to learn and adapt to newtechnologies tools and methodologies in the rapidly evolving dataengineering landscape.
- Willingness to stay uptodate with thelatest trends and best practices in data engineering cloudcomputing and data management.
The Perks:
Being a part of the Casumo group provides an unparalleled experience. Youll find yourself surrounded by the brightest minds within the most inspiring and collaborative office spaces! In addition to that youll enjoy: Wellness incentives including a fitness allowance and mental wellbeing services
2 weeks Work From Anywhere (increased to 4 weeks after longer duration of
employment within the Company): explore the world while working remotelyFood allowance covering food twice a week
Access to some of the greatest tools and platforms for developing your professional skills and building success within your role
A range of training courses known as Casumo College for continuous learning and growth
Social events for building strong relationships with colleagues from all across the organisation
Our ABC values:
ASPIREAt Casumo aspire means pushing beyond the ordinary and transforming obstacles into stepping stones. Challenges are our breakfast of champions and comfort zones are out of bounds. Mediocrity Left behind. Our mantra Dream big aim high and always be ready for the next adventure in innovation.
BELIEVE
Belief at Casumo isnt just a feelgood sticker; its the glue that binds us. Turning me achievements into we victories were a tightknit crew of dreamers doers and relentless supporters. With a highfive arsenal and a trusty cheerleading squad were on a mission to prove that together were not just strong; were Casumo strong.
CARE
Care is our secret ingredient the cherry on top of our game. Its not only about ensuring our players have a blast (responsibly of course); its about weaving a fabric of support so tight even the toughest challenges cant tear us apart. From tailoring player experiences to being there for each other were all about creating memorable moments.
Employment Type
Full Time
