Data Transformation and Automation- Associate Sr. JPMC Candidate Experience page

3.0 - 7.0 years

0 Lacs

maharashtra

On-site

As an integral part of our Data Automation & Transformation team, you will experience unique challenges every day. We are looking for someone with a positive attitude, entrepreneurial spirit, and a willingness to dive in and get things done. This role is crucial to the team and will provide exposure to various aspects of managing a banking office. In this role, you will focus on building curated Data Products and modernizing data by moving it to SNOWFLAKE. Your responsibilities will include working with Cloud Databases such as AWS and SNOWFLAKE, along with coding languages like SQL, Python, and Pyspark. You will analyze data patterns across large multi-platform ecosystems and develop automation solutions, analytics frameworks, and data consumption architectures utilized by Decision Sciences, Product Strategy, Finance, Risk, and Modeling teams. Ideally, you should have a strong analytical and technical background in financial services, particularly in small business banking or commercial banking segments. Your key responsibilities will involve migrating Private Client Office Data to Public Cloud (AWS and Snowflake), collaborating closely with the Executive Director of Automation and Transformation on new projects, and partnering with various teams to support data analytics needs. You will also be responsible for developing data models, automating data assets, identifying technology gaps, and supporting data integration projects with external providers. To qualify for this role, you should have at least 3 years of experience in analytics, business intelligence, data warehousing, or data governance. A Master's or Bachelor's degree in a related field (e.g., Data Analytics, Computer Science, Math/Statistics, or Engineering) is preferred. You must have a solid understanding of programming languages such as SQL, SAS, Python, Spark, Java, or Scala, and experience in building relational data models across different technology platforms. Excellent communication, time management, and multitasking skills are essential for this role, along with experience in data visualization tools and compliance with regulatory standards. Knowledge of risk classification, internal controls, and commercial banking products and services is desirable. Preferred qualifications include experience with Big Data and Cloud platforms, data wrangling tools, dynamic reporting applications like Tableau, and proficiency in data architecture, data mining, and analytical methodologies. Familiarity with job scheduling workflows, code versioning software, and change management tools would be advantageous.,

Posted 5 days ago

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