Data Engineer
- Posted 15 hours ago
- Be among the first 10 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
Key Skills
About Company
Skills:
snowflake , Java, Ms Excel, BigQuery, Json, Api Integration, Sql, Gcp, Powerbi, Xml, Databricks, Splunk, Python, Azure DevOps, Salesforce
Skills:
Data Modeling, Sql, ELT, Etl, Data Export Service, Azure-native services, Dualwrite, OData APIs, Dataverse, D365 data models, Microsoft Dynamics 365, Microsoft Fabric, lakehouse architectures
Skills:
Databricks, Python, Adf, Osd, Dwh, Sparksql, Stored Procedure, Sql Development, Apache Spark, Hadoop, ETL Developer, Teamwork
Skills:
Java, Nosql, MySQL, Scala, SQL Server, Oracle, Python, Database
Skills:
Java, Data Modelling, MySQL, Scala, SQL Server, Data Architecture, Oracle, Data Warehousing Principles