Software Engineer III Data Engineer
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Job Location:
Monthly Salary:
Posted on:
27 days ago
Vacancies:
1 Vacancy
Job Summary
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Data Engineer III at JPMorgan Chase within the Wholesale Credit Risk team you will play a key role in transforming our legacy and fragmented data landscape supporting advanced analytics and data-promoten decision-making across the this role you will be an integral part of complex data engineering projects modernize large-scale Oracle databases on-premises big data platforms and diverse data sources. You will leverage your technical expertise to design and implement robust data models and pipelines optimize data sourcing strategies and architect solutions for both transactional (OLTP) and analytical (OLAP) workloads. You will address challenges related to data duplication quality modeling and ownership and deliver innovative scalable and secure data solutions through close collaboration with data engineers software teams data scientists quants product owners and senior stakeholders.
Job Responsibilities:
- Contribute to the design and implementation of modern scalable data solutions across hybrid cloud and on-prem environments supporting both OLTP and OLAP requirements.
- Develop and maintain high-quality data models ETL/ELT pipelines and data integration processes.
- Participate in initiatives to consolidate de-duplicate and migrate legacy Oracle databases and big data platforms to modern cloud-based data platforms.
- Apply and promote best practices in data engineering security risk management regulatory compliance and automation.
- Collaborate cross-functionally with software engineering analytics and business teams to deliver data solutions aligned with business objectives.
- Ensure data quality governance and metadata management across all data assets.
- Troubleshoot and resolve complex issues related to data duplication quality modeling and ownership.
- Present technical strategies architecture decisions and project updates to stakeholders.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 3 years applied experience.
- Hand-on experience in data engineering with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.
- Expertise in data modeling database design big data technologies cloud data platforms (AWS Azure GCP) and modern data tools (e.g. Snowflake Databricks Airflow).
- Strong experience architecting and optimizing transactional and analytical data systems.
- Mastery of ETL/ELT pipelines data migration data quality frameworks data governance and metadata management.
- Proficiency in enterprise-grade languages (e.g. Python) and data modeling & engineering tools.
- Solid background in data security risk management and regulatory compliance.
- Action-oriented decisive drives results systematically.
- Skilled at assessing risk and making decisions with a holistic big-picture perspective.
- Demonstrates a can-do attitude and leads by example; Prioritizes helpfulness and team development.
Detail-oriented able to distinguish between important and urgent tasks.
Preferred qualifications capabilities and skills
- Experience in banking or financial domain
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
