JPMorgan Data Engineer II - Python ETL 

United States, Florida, Tampa 

342084664

Job Responsibilities:

• Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions.
• Experiment, Architect, develop and productionize efficient Data pipelines, Data services and Data platforms contributing to the Business.
• Design and implement highly scalable, efficient and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
• Acts on previously identified opportunities to converge physical, IT, and data security architecture to manage access​
• Champions the firm’s culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities and skills:

• Formal training or certification on large scale technology program concepts and 2+ years applied experience in Data Technologies.
• Experienced programming skills with Java, Python or other equivalent languages.
• Experience across the data lifecycle, building Data frameworks, working with Data lakes.
• Experience with Batch and Real time Data processing with Spark or Flink
• Working knowledge of AWS Glue and EMR usage for Data processing
• Experience working with Databricks
• Experience working with Python/Java, PySpark etc.
• Working experience with both relational and NoSQL databases​
• Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB.

Preferred qualifications, capabilities and skills :

• Cloud computing: Amazon Web Service, Docker, Kubernetes.
• Experience in big data technologies: Hadoop, Hive, Spark, Kafka.
• Experience in distributed system design and development