Data engineer • allen tx
Position: Java /Data Developers </b></p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"><b>Location: Plano, TX***Onsite***</b>&... Show more
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The average salary range is between $ 102,855 and $ 159,725 year , with the average salary hovering around $ 132,158 year .
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
Position: Java /Data Developers
Location: Plano, TX***Onsite***
Duration: 1 Years
Java Software engineer with some Data experience.
Job Description
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Develper / Data Engineer at JPMorgan Chase within the Commercial & Investment Bank - Data Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. You will apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning.
Job Responsibilities
Supports review of controls to ensure sufficient protection of enterprise data
Advises and makes 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
Innovate new ways of managing, transforming and validating data
Apply quality assurance best practices to all work products
Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
Adds to team culture of diversity, equity, inclusion, and respect
Required Qualifications, Capabilities, And Skills
Formal training or certification on data engineering disciplines and 3+ years applied experience
Experience across the data lifecycle
Full stack development with Angular and Java or python
Advanced at SQL (e.g., joins and aggregations)
Working understanding of NoSQL database platforms and writing efficient SQL's
Knowledge of application, data and infrastructure architecture disciplines
Solid experience in Big Data technologies; (Spark, Impala, Hive, Redshift, Kafka, etc.)
Skilled in Java and Python development - MUST
Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
Experience customizing changes in a tool to generate product
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Preferred Qualifications, Capabilities, And Skills
Experience with data analytics/data management processes on AWS
Financial Services and Commercial and Investment Banking experience
Familiarity with DynamoDB and/or Cassandra
