Data Engineer II DataBricks SnowFlake
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
You thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
Job responsibilities
- Organizes updates and maintains gathered data that will aid in making the data actionable
- Source acquire and prepare data from multiple internal and external sources ensuring data is clean reliable and ready for engineering use.
- Perform exploratory data analysis build queries and generate insights to support engineering and business objectives
- Partner with data owners downstream customers and engineers to understand requirements resolve data issues and ensure data solutions meet stakeholder needs.
- Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
- Develop and apply data quality checks monitor data integrity and proactively address data anomalies.
- Identify and implement opportunities to automate and optimize data preparation and integration processes reducing manual prework for engineers.
- Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request
- Updates logical or physical data models based on new use cases with minimal supervision
Maintain clear documentation of data sources processes and data flows. Communicate findings and recommendations effectively to technical and non-technical audiences.
Required qualifications capabilities and skills
- Formal training or certification on data engineering concepts and 2 years applied experience
- 5 years in a data-focused role (e.g. Data Analyst Data Engineer Data Strategist) within a technology or engineering environment.
- Strong experience with data acquisition preparation and analysis using tools such as Databricks SQL Python or similar.
- Demonstrated ability to collaborate with cross-functional teams and manage relationships with stakeholders.
- Proven track record of identifying and implementing process improvements in data workflows.
- Excellent analytical problem-solving and critical thinking skills.
- Strong written and verbal communication skills with the ability to convey complex data concepts to diverse audiences.
- Advanced at SQL (e.g. joins and aggregations)
- Working understanding of NoSQL databases
- Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis
- Basic knowledge of data system components to determine controls needed
- Experience working in large matrixed organizations preferably in financial services or technology.
- Familiarity with data visualization tools (e.g. Tableau QlikView) and cloud data platforms.
- Experience with data governance data quality frameworks and metadata management.
- Ability to manage multiple priorities and deliver results in a fast-paced environment.
- Self-starter mindset with a passion for data-driven innovation.
Required Experience:
IC
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
