Data Engineer with SQL, Python & Java w/banking or FIS

Data Engineer with SQL, Python & JavaOpening – 3 Role: Data Engineer with SQL, Python & Java w/banking or FIS Location: Onsite in Plano, TX (Local ONLY) Duration: 1+ year MOI: VIDEO & F2F NO RELOCATIONWe need: Three Senior (10+ years) Data Engineers with extensive experience working with SQL/NoSQL, Big Data/Spark as well as Java or Python. Candidates must have recent experience in banking or financial services/capital markets. Candidates must have development experience developing with Java and/or Python. This is not an ETL and data pipeline position. If you see a lot of ETL/data pipeline on the resume, the candidate is wrong. Please screen candidates for communication skills and do not send me anyone who is not (8/10) or better. No accent. If you sent me candidates for this last time it was open, please do not resend them. I need new candidates.MUST BE WITHIN A ONE HOUR COMMUTE TO PLANO, TX AND GO INTO THE OFFICE 5 DAYS A WEEK. THERE WILL BE A FINAL ONSITE INTERVIEW. NO RELOCATION Candidates must have long projects/good tenure, excellent communication skills and a state issued ID (not bills) showing they are local.*** Candidate Must Have's on a resume and for submittal:How many years working with: Data EngineerHow many years working with: SQL/NoSQLHow many years working with: Big DataHow many years working with: Python or JavaHow many years working with: Banking or FISJob Description: Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Engineer III 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 ResponsibilitiesSupports review of controls to ensure sufficient protection of enterprise dataAdvises and makes custom configuration changes in one to two tools to generate a product at the business or customer requestUpdates logical or physical data models based on new use casesInnovate new ways of managing, transforming and validating dataApply quality assurance best practices to all work productsFrequently uses SQL and understands NoSQL databases and their niche in the marketplaceAdds to team culture of diversity, equity, inclusion, and respectRequired Qualifications, Capabilities, And SkillsFormal training or certification on data engineering disciplines and 3+ years applied experienceExperience across the data lifecycleAdvanced at SQL (e.g., joins and aggregations)Working understanding of NoSQL database platforms and writing efficient SQL'sKnowledge of application, data and infrastructure architecture disciplinesSolid experience in Big Data technologies; (Spark, Impala, Hive, Redshift, Kafka, etc.)Skilled in Java and Python development - MUSTSignificant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysisExperience customizing changes in a tool to generate productStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyPreferred Qualifications, Capabilities, And SkillsExperience with data analytics/data management processes on AWSFinancial Services and Commercial and Investment Banking experienceFamiliarity with DynamoDB and/or Cassandra