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Your new company
An IT solutions consultancy is looking for an experienced Data Engineer to join their team.
Your new role
- Build and maintain scalable data systems including databases, warehouses, and processing architectures.
- Design data pipelines for modeling, mining, and production to support analytics and business needs.
- Clean and prepare raw data using programming tools for descriptive and predictive modeling applications.
- Optimize data quality, reliability, and efficiency through strategic improvements and system enhancements.
- Organize data assets and catalogs for efficient storage, access, and retrieval, tune SQL performance
What you'll need to succeed
- Over 3 years’ experience in data architecture, warehousing, modeling, ETL/ELT, and streaming solutions.
- Skilled in Kubernetes-based DevOps, container orchestration, CI/CD pipelines, and microservices deployment.
- Proficient in Oracle SQL/PLSQL development and basic understanding of Oracle database architecture.
- Experienced in AWS services including EC2, S3, EMR, Redshift, Athena, and Kinesis.
- Strong programming skills in Python, R, SQL; familiar with Java, Spark, Hive, and Airflow.
- Hands-on with data crawling, modeling, lake formation, warehouse construction, and machine learning deployment.
What you'll get in return
In return, you'll be part of an organization that values its employees. You’ll be rewarded with:
- Structured career growth and plenty of developmental opportunities
- Hybrid and stable working environment
What you need to do now
If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email [email protected]. Referrals are welcome.
At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.
EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D
Key Skills
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