JPMorgan Data Engineer - Associate 

India, Karnataka, Bengaluru 

334992307

As a Data Engineer in our Finance team you will spend each day defining, refining and delivering set goals for our firm.

Job Responsibilities :

• Develop data pipelines using Python for querying, cleaning, aggregating, and merging data with Spark/PySpark to support Machine Learning model development and deployment
• Develop and execute production-quality pipeline using Python for deploying Machine Learning models at scale
• Conduct research and development with emerging technologies, determine their applicability to business use cases, document and communicate their recommended use in the firm
• Troubleshoot/debug legacy code in Python/Pyspark/SQL
• Become a subject matter expert on data sources and best practices corresponding to a LOB or business function.
• Collaborate with fellow team members to develop skills and transfer knowledge
• Deliver high-quality solutions under tight deadlines and communicate project status and timelines effectively
• Mentor junior team members

Required qualifications, capabilities, and skills

• BS or MS in STEM field with quantitative background or equivalent knowledge in Big Data, Software Development, or Machine Learning at Scale
• Minimum 3 years of experience in Big Data, Software Development, or Machine Learning at Scale
• Strong knowledge of data structures, algorithms and other foundational concepts of Computer Science
• Strong design, coding, debugging, and analytical skills
• Excellent command over SQL, Python and Pyspark coding languages
• Expert in Big Data technologies and their best practice application (Hadoop, Spark, Hive, HDFS, etc.)
• Knowledge of version control tools and processes (e.g. Subversion, Git)
• Technical understanding or experience in common RDBMS systems; (e.g. Teradata, Oracle)

Preferred qualifications, capabilities, and skills

• Practical experience with atleast one Cloud solutions (AWS, GCP, Azure), certification is a plus.
• Effective communication and presentation skills. Can work both independently and collaboratively.
• Good project management skills (clear goal setting, well-organized, detailed planning, and ability for tight-timeline deliverables).