Data Operations Specialist
3 weeks ago
The Data Operations Specialist is a crucial role at Barings, responsible for ensuring the accuracy, availability, and reliability of data for both internal and external clients.
This position involves monitoring and optimizing data processes, addressing inquiries, resolving issues, and mitigating risks. The specialist will handle batch processing, alert monitoring, and abend resolution, contributing to the continuous improvement of data operations.
Primary Responsibilities- Provide high-quality client service externally and internally, addressing inquiries, performing controls, resolving problems, and mitigating risks for clients and internal partners.
- Perform daily internal verification checks to ensure data is accurate and available within Service Level Agreements (SLAs).
- Investigate and troubleshoot data pipeline issues and feed processing exceptions, triaging with Data Engineering Support when needed.
- Effectively complete and maintain operational workflows and identify opportunities for optimization.
- Investigate and resolve complex and intricate issues, perform ad-hoc analysis of large data sets while meeting tight deadlines.
- Collaborate with data engineers to optimize application logic and functionality in the Azure Gen2 Data Lake, Data Factory, Data Bricks, and SQL Database environments.
- Work on cross-functional teams to represent the Data Team on various projects.
- Apply proven communication and problem-solving skills to resolve support issues as they arise.
- On-call responsibilities.
- A strong sense of urgency.
- Bachelor's degree in Computer Science, Information Systems, or equivalent experience required.
- At least 3 years of experience in a Data Engineer or Data Operations role.
- 3+ years of experience working with SQL.
- 2+ years of experience with Microsoft Azure Data Lake, Data Factory, and SQL Database products or equivalent products from other cloud services providers.
- Expert knowledge and experience developing efficient ETL data pipelines having multiple sources.
- Familiar with modern data lake, data warehousing, and ETL/ELT concepts.
- Knowledgeable about data modeling, data access, and data storage techniques.
- Ability to work in an Agile Scrum environment.
- Strong written and verbal communication skills.
- PREFERRED EXPERIENCE WITH SUPPLEMENTARY SCRIPTING LANGUAGES SUCH AS PYTHON AND POWER BI.
The estimated annual salary for this role is $95,000 - $120,000, based on industry standards and requirements.
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