Associate Consultant - Data

Do you have a passion for data and analytics? Do you want to be the champion of change? Do you want to take ownership and accountability on solutions? Do you value yourself, value others and contributes to success? More importantly, are you a can-do person? synogize is looking for a Data Engineer to expand our capabilities and complement our team of passionate Data Analytics experts. Are you the type of person who: Wants to actively contribute and work closely with the client to achieve goals together Loves solving technical and industry problems Love to learn new business domains, proceed to understand business problems and convert them into solution Is seeking a long-term permanent role to grow personally and with the company Curate the customer experience uniquely to create value Not afraid to learn and pivot with new Data and Analytics tools Have at least 2 years of technical and industry experiences Leverage your expertise to drive customer success To be successful, you would need: Experience with cloud data warehouses like Redshift, Big Query, Snowflake, Databricks Experience with ETL tools like Fivetran, Azure Data Factory or similar. Experience in Java / C# / C++ or Python / R SQL experience is a must, as well as working with views, stored procedures, function across database technologies. Ability to understand, manage and handle complex data. Demonstrated the ability to develop data models that cater to specific domains—both conceptual and physical models. Strong communication skills. Ability to articulate complex problems/solution for the senior stakeholder to understand. Experience with Data Engineering pipeline design and implementation Experience working with third-party APIs to enable data to flow between different systems. Experience working with any mainstream cloud platform such as Microsoft Azure, AWS, SAP or GCP Experience with NoSQL (e.g. Cosmos DB, Mongo) Bonus/Nice to have: Exposure to Machine learning technologies Passionate about data visualisation. Experience with any of the mainstream tools such as Power BI, Tableau, Qlik or Redash