Data Engineer
Data Engineer
tokio marine insurance group (asia)Early Applicant
- Posted 22 days ago
- Be among the first 30 applicants
Job Description
Responsibilities
- Design, build and enhance enterprise data platforms, including Data Lakes, Data Warehouses, data pipelines and analytics solutions that power business decisions across the organisation.
- Transform raw data into meaningful insights through modern data engineering practices and automation.
- Collaborate with business and technology teams to solve real-world problems using data.
- Participate in the full solution lifecycle, from idea and design through development, testing, deployment and continuous improvement.
- Explore opportunities to improve data quality, performance, automation and operational efficiency.
- Gain hands-on experience with enterprise scale data platforms while developing future ready data engineering skills.
- Contribute to the organisation's ongoing data and analytics transformation journey.
- Minimum – Degree in IT.
- Minimum 1-2 years experience in IT software development environment.
- Minimum 1-2 years experience in IT project management.
- Data Analytics and Visualization Platforms (Tableau, Power BI)
- Database (MS SQL, Oracle, DB2, etc)
- Programming Languages (SQL Scripting, C#, Python)
- ETL tools (SSIS, etc)
- Cloud and Data Platform Technologies (AWS, Azure, and other cloud-based data services)
More Info
About Company
Skills:
Plsql, Sql, ETL Analytics Tools
Skills:
T-sql, PowerShell, System Integration, Functions, SQL Server Agent, Stored Procedures, SSH SFTP File Transfer, PGP GPG Encryption Decryption
Skills:
Azure Functions, Powerbi, Pyspark, Databricks, Dax, Python, Sql
Skills:
snowflake , Data Architecture, Informatica, Nosql, Tensorflow, Numpy, Pytorch, Docker, Talend, Python, AWS, BigQuery, Hadoop, Sql, Pandas, Spark, Azure, Kubernetes, Airflow, MLflow, Kubeflow, MLOps tools, Scikit-learn, cloud platforms, CI CD pipelines
Skills:
Hadoop, Data Security, Data Quality, Data Governance, Clustering, Sql, Metadata Management, Spark, Predictive Modeling, Python, LLMs, Iceberg, Superset, Classification techniques, Knowledge graph