Sr. Databricks Data Engineer, Onsite AVP
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What you'll do
- Design & Develop custom high throughput and configurable data piplines using DataBricks.
- Ability to drive change through collaboration, influence and demonstration of POCs
- Design, build and test end to end data ingestion pipelines(streaming, events, and batch), data integration, data curation.
- Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark.
- Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies
- Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance
- Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation
What they're looking for
- Bachelor’s Degree level qualification in a computer or IT related subject.
- 7+ years of overall IT experience.
- 5+ years of Data Engineering experience handling large datasets.
- 3+ years of Databricks hands-on experience using SQL & Scala/PySpark.
- 3+ years of experience on cloud-based development using Azure/AWS.
Nice to have
- Experience of working in the financial industry
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Who we are looking for
We are looking for a Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services
What you will be responsible for
As Data Engineer you will
- Design & Develop custom high throughput and configurable data piplines using DataBricks.
- Ability to drive change through collaboration, influence and demonstration of POCs
- Design, build and test end to end data ingestion pipelines(streaming, events, and batch), data integration, data curation.
- Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark.
- Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies
- Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance
- Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation
What we value
These skills will help you succeed in this role
- Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline.
- Strong hand-on experience in troubleshooting DevOps pipelines and Azure services
- Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks.
- Experience with Micro Services - API/Event Driven Architecture/Development
- Strong hands-on experience in troubleshooting DevOps pipelines and Azure services
- Strong critical thinking, communication, and problem-solving skills.
Education & Preferred Qualifications
- Bachelor’s Degree level qualification in a computer or IT related subject.
- 7+ years of overall IT experience.
- 5+ years of Data Engineering experience handling large datasets.
- 3+ years of Databricks hands-on experience using SQL & Scala/PySpark.
- 3+ years of experience on cloud-based development using Azure/AWS.
Additional requirements
- Communicate effectively in a professional manner both written and orally
- Team player with a positive attitude enthusiasm initiative and self-motivation
- Experience of working in the financial industry
- Experience in collaborating with team members, users and stakeholders across geographical locations.
- Ability to multi-task, meet aggressive timelines and have strong work ethics
- Experience with agile development methodology
Work Requirement
Onsite 4 days a week in office and one day remote
Standard business hours aligned to project and stakeholder needs(8am to 5pm)
Salary Range:
$91,000 - $140,500 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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