Responsibilities include but are not limited to: Design and development of ETL pipelines, data models, queries, scripts and maintenance procedures. Identify opportunities to optimize performance from "end to end" perspective. Ability to collaborate and partner with business domain leads, data scientists, product owners, enterprise architects and other functional leads to deliver enterprise data solutions. Collaborate with foundational solution functional teams, vendors, and technology support te... more details
Responsibilities include but are not limited to:
Design and development of ETL pipelines, data models, queries, scripts and maintenance procedures.
Identify opportunities to optimize performance from "end to end" perspective.
Ability to collaborate and partner with business domain leads, data scientists, product owners, enterprise architects and other functional leads to deliver enterprise data solutions. Collaborate with foundational solution functional teams, vendors, and technology support teams to build and deliver solutions on business initiatives.
Delivery solutions through a minimum viable product (MVP) and subsequent iterative cycles of development.
Prepare and maintain design and architectural documents for management and development teams.
Design and develop Cloud-based infrastructure both real-time and batch ETL processes.
Build multi-dimensional databases and data marts.
Participate in the development of data management policies, standards, and procedures. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Interface across several business areas, proactively assisting in defining project direction with business stakeholders.
Communicate complex technical information to project stakeholders, including those without a technical background to capture non-functional requirements.
Required Skills:
Hands on development experience in one or more of the following: SQL, Python, Spark, Cloud-based ETL tools.
Expertise in development of ETL interfaces, Data Warehouses, Data Lakes, and Analytics solutions.
Experience with Azure Data Factory, Azure Databricks and Snowflake preferred (similar cloud technology experience also considered).
Demonstrated technology and personal leadership experience in designing and building highly scalable cloud-based data solutions.
Enterprise scale knowledge of data management best practices such as data integration, data security, data warehousing, data analytics, metadata management and data quality.
Knowledge and experience in modern data integration frameworks, highly scalable distributed systems, and emerging data architecture designs/patterns.
Strong knowledge of Operational, Analytical, Master, and Reference data models.
Experience with Data visualization tools such as PowerBI is preferred.
Experience with Agile methodologies as well as waterfall development.
Experience in DevOps, CI/CD technologies is desirable.
Required Experience:
Bachelor's degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Mathematics, Data Science.
Minimum of 3 years of experience with large and complex systems in a financial institution with data solution architecture, design, and development delivery experience.
Expertise in data warehousing, Building Operation Databases, Data integration and Development design patterns.
Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect or ETL developer.
Job Abstracts is an independent Job Search Engine. Job Abstracts is not an agent or representative and is not endorsed, sponsored or affiliated with any employer. Job Abstracts uses proprietary technology to keep the availability and accuracy of its job listings and their details. All trademarks, service marks, logos, domain names, and job descriptions are the property of their respective holder. Job Abstracts does not have its members apply for a job on the jobabstracts.com website. Additionally, Job Abstracts may provide a list of third-party job listings that may not be affiliated with any employer. Please make sure you understand and agree to the website's Terms & Conditions and Privacy Policies you are applying on as they may differ from ours and are not in our control.
We would like to take a second to Welcome You to Job Abstracts, the nation’s largest Pure Job Board. With over 3.1 million job listings from 15,000+ Companies & Organizations, we help job searchers find careers that match their interests. As an anonymous user, you have probably discovered how easy our system is to use. However, you have just scratched the surface of what we can offer.
We encourage you to Register so you can use our most powerful features: searching with multiple terms, setting up multiple locations, establishing favorite companies, and accessing your search history. If you find a job you like, you can apply directly for it, and then, keep notes on it. We will also keep a lookout for jobs that match your search terms and email you when we find something you may like.
You can register for free and the system is free to use. If you like our system so far, click on Register and unlock the power required by serious job searchers.
Any time you conduct a search, the system shows you job matches, ranked by their Relevance Score (RS).
The score is calculated by a proprietary algorithm that uses Intelligent Machine Learning.
The Relevance Score tells you how well the job opportunity matches your search term or terms.
When not logged in, the system is limited to one search term. Scores for single term matches are usually lower.
When you register, log in, and set up multiple terms prioritized by importance, the jobs found for you will receive a much higher Relevance Score.