About this role
Overview:
We are looking for a high performing individual who is passionate about data to provide data pipeline support, operations and engineering across multiple data domains and data platforms. Initially you will proactively identify and resolve data pipeline issues to ensure high quality on time data for our clients. In addition, you will optimize pipeline performance and understand how our clients use their data.
Key responsibilities:
- Monitor and manage data pipelines to ensure the timely and accurate flow of data
- Resolve quality checks alerts to ensure the accuracy, completeness, and consistency of data
- Monitor and optimize data pipeline performance to meet and exceed established service level agreements (SLAs)
- Collaborate with data engineering, data stewards, data owner teams to implement improvements in data quality processes and data pipeline performance.
- Implement proactive measures to identify and resolve data issues automatically.
- Maintain comprehensive documentation of data operations processes, monitoring procedures, and issue resolution protocols.
- Ensure documentation and operating procedures are up to date to facilitate knowledge transfer and training.
Knowledge and Experience:
- 1-3 years’ experience in hands-on data operations including data pipeline monitoring, support and engineering.
- Hands on technical experience including troubleshooting data processing, orchestration (Airflow) data ingestion, cloud-based databases/warehousing (Snowflake) and business intelligence tools
- Passionate about data platforms, data quality and everything data
- Excellent understanding of data quality assurance processes and methodologies.
- Experience monitoring, and supporting data pipelines that are fast, scalable, reliable, and accurate.
- Understand clients' data requirements to meet client data operations needs
- Strong analytical and problem-solving skills, with a keen attention to detail
- Effective communication and collaboration abilities
- Bachelor’s degree in computer science, Engineering, Mathematics or Statistics
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
