| Looking for Lead Data Solutions Engineer West Chester, PA Hybrid at Chester, Pennsylvania, USA |
| Email: [email protected] |
| From: Nitu, RCI [email protected] Reply to: [email protected] Position: Lead Data Solutions Engineer Location: Relocation open for nearby states - West Chester, PA Hybrid - Must work EST zone. Duration: 6+month LinkedIn must Visa: GC and USC only C2H client is building out a new generation of green field solutions for its Finance and Risk areas to support actuaries and quants with portfolio analytics, market simulations, pre- and post-trade analytics, trading, risk metrics and reporting. As part of this program, client is standing up small, business-aligned Agile teams to develop these new products. The program continues to expand with an aggressive company acquisition strategy and this will lead to growth opportunities within these teams and with new teams as they form. Solution architecture is Cloud Native and Serverless, using cutting edge AWS Services, which currently include: Lambda, API Gateway, Cloud Formation Template, SNS, SQS, Event Bridge, Glue, Athena, DynamoDB, TimeStreamDB, Redshift, Aurora, S3, CloudWatch, Cloud Trail , etc., to name the few. Key factors are; Will mentor/manage team members, be responsible for code review and some architecture input. Senior level data engineering experience Core general programming skills API experience, not building API's but will be using them to plug into + streams. AWS/Serverless experience Agile mindset Database experience such as SQL, NoSQL, or Cloud This is more than just a Python App Dev role Will be building modern cloud-based reporting and analytics platform for the Business Application Services Group. Technical Bachelor's degree in IT or related field preferred. 7+ years professional experience designing, building, delivering, and supporting data-intensive distributed systems and/or data management systems. 5+ years professional experience using APIs and event streams and/or enterprise-class data management systems with streaming data feeds as data sources. 5+ years professional experience developing solutions with any three (or more) of the following cloud-native AWS mechanisms (or non-AWS equivalents): S3, Lambda, EFS, SNS, SQS, EventBridge, Kinesis, Aurora, DynamoDB, Glue, Athena, Redshift/Spectrum Proficiency in common enterprise data engineering patterns (Relational vs Dimensional, Data Warehousing, Schema-on-Read vs Schema-on-Write, Data Lake, etc.) Familiarity with BI & Data Visualization tools (e.g., PowerBI) preferred. Practical experience with large scale distributed data store; AWS RedShift strongly preferred. Proficiency with Python and SQL Proficiency with Version Control System is required; experience with Git preferred. Proficiency with ETL and ELT concepts and related tooling is required. Practical experience with CI/CD tooling is strongly preferred (e.g., Jenkins, AWS CodePipeline, DB Maestro, ) Practical experience with automated BDD test tooling is strongly preferred (e.g., SpecFlow, Cucumber, ) Experience with Agile (Kanban, Lean, or XP) practices is a plus. Non-technical Demonstrates superior communication skills: writes and speaks clearly and concisely; presents ideas understandably and persuasively; uses appropriate channels for audience and subject matter; able to consume and share information at multiple levels, from detailed technical directions to high level business concepts. Exhibits efficient and effective documentation skills: recognizes and achieves "just enough documentation, leveraging content-suitable mediums and mechanisms such as wikis, pictures, diagrams, schema, models, Exercises strong analytical capabilities with ability to ask probing questions to gather complete information. Steps back from detail to see the big picture, distinguish the vital from the trivial, ignore nonessentials, and remove obstacles so that essential things have clear, smooth passage. Remains calm and composed in adversity, lending stability and order to stressful situations. Deals easily with multiple concurrent issues and tasks under pressure. Anticipates potential obstacles and develops contingency plans to overcome them. Possesses an Agile mindset and a drive to deliver business value via relentless incrementalism. Experience in insurance, financial services, or other highly regulated industry is highly desirable. Keywords: continuous integration continuous deployment business intelligence sthree database information technology green card Pennsylvania |
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| Fri Jan 27 21:02:00 UTC 2023 |