Starburst Engineer
Job Summary
Job Description
- Bachelor's/Masters in a technical field or equivalent experience.
- Experience as a Software Engineer improving existing systems.
- Strong knowledge of Big-Data Languages: SQL, Hive, Spark/Pyspark, Presto, Python.
- Strong knowledge of Big-Data Platforms such as Hadoop, AWS EMR, Qubole or Trino/Starburst.
- Good knowledge and experience in cloud platforms such as AWS, GCP, or Azure.
- Ability to apply knowledge and quickly master new technologies.
- Demonstrates ability to select technology to solve for need.
- Able to understand and design moderately complex systems.
- Understanding of testing and monitoring tools.
- Ability to test, debug, fix issues within established SLAs.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Understanding of data governance and compliance standards.
- Data Architecture & Engineering: Design data warehousing solutions using Azure Databricks and Microsoft Fabric.
- Business Intelligence & Data Visualization: Create insightful Power BI dashboards.
15 skills required
Job Details
Project description
You will be working in a global team that manages and performs a global technical control.
You'll be joining Assets Management team which is looking after asset management data foundation and operates a set of in-house developed tooling.
As an IT engineer you'll play an important role in ensuring the development methodology is followed, and lead technical design discussions with the architects. Our culture centers around partnership with our businesses, transparency, accountability and empowerment, and passion for the future.
Responsibilities
Design, develop, and maintain scalable data solutions using Starburst.
Collaborate with cross-functional teams to integrate Starburst with existing data sources and tools.
Optimize query performance and ensure data security and compliance.
Implement monitoring and alerting systems for data platform health.
Stay updated with the latest developments in data engineering and analytics.
Skills
Must have
Bachelor's degree or Masters in a related technical field; or equivalent related professional experience.
Prior experience as a Software Engineer applying new engineering principles to improve existing systems including leading complex, well defined projects.
Strong knowledge of Big-Data Languages including:
SQL
Hive
Spark/Pyspark
Presto
Python
Strong knowledge of Big-Data Platforms, such as: o The Apache Hadoop ecosystem o AWS EMR o Qubole or Trino/Starburst
Good knowledge and experience in cloud platforms such as AWS, GCP, or Azure.
Continuous learner with the ability to apply previous experience and knowledge to quickly master new technologies.
Demonstrates the ability to select among technology available to implement and solve for need.
Able to understand and design moderately complex systems.
Understanding of testing and monitoring tools.
Ability to test, debug, fix issues within established SLAs.
Experience with data visualization tools (e.g., Tableau, Power BI).
Understanding of data governance and compliance standards.
Nice to have
Data Architecture & Engineering: Design and implement efficient and scalable data warehousing solutions using Azure Databricks and Microsoft Fabric.
Business Intelligence & Data Visualization: Create insightful Power BI dashboards to help drive business decisions.
Other
Languages
English: C1 Advanced
Seniority
Senior
Pune, India
Req. VR-114886
Data Science
BCM Industry
05/06/2025
Req. VR-114886
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