לוח משרות דרושים מתכנת ETL בירושלים וסביבתה

We are The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices You have
* 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
* Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field - Must (Advanced degree an advantage)
* 3+ years of experience in business intelligence, data analysis, or a related role, preferably in a consulting or corporate environment- Must
* Proficiency in BI tools such as Power BI, Tableau, AWS QuickSight, or similar platforms, with hands-on experience developing interactive dashboards and reports Must
* Strong analytical skills, with the ability to analyze complex data sets , draw meaningful conclusions, and communicate insights effectively to stakeholders - Must
* Knowledge of data visualization best practices , including design principles, usability, and accessibility standards - Must
* Familiarity with programming languages such as Python or R for data analysis and visualization
* Ability to collaborate with cross-functional teams and stakeholders at all levels of the organization
* Strong attention to detail, with a focus on data accuracy, completeness, and reliability
* Ability to work independently and as part of a team in a fast-paced environment
* Exhibit problem solving skills, strategic thinking, and anticipate future trends and challenges A Bonus
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) or other consumer financial protection laws and regulations preferred
* Certification in business intelligence, data analytics, or related field an advantage
* Experience in the financial service sector an advantage
* Experience with big data technologies and frameworks for large-scale data processing and analytics an advantage
* Understanding of industry-specific data and business processes in sectors such as finance and credit an advantage
* Experience with data modeling, data warehousing, and ETL processes an advantage
*  Experience working with cloud-based BI solutions such as Microsoft Azure, AWS, Google Cloud an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions f

Who We're Looking For - The Dream Maker
We are looking for a hands-on data engineer who will build and develop the entire data engineering capabilities and infrastructure, from scratch. This role will possess a combination of technical expertise, problem-solving skills, and strong communication abilities. It will interface with all the departments of our rapidly growing organization in this transformative period.
Your Arena Data Standardization : Make sure that data is standardized, and manage efforts on that initiative (including past data), create a live documentation for the existing data schema (main entities + each field), ensure that data schema is consistent and participate in design reviews that involve database design, oversee the adoption of a common data access layer for our main DB entities (disputes, customer data, integrations, billing), add and maintain a validation processes ayer to prevent divergence from schema and closed set of value Data Correctness & Integrity : Set up processes to ensure data correctness, validity based on business requirements, processes to detect data duplication in our database, and take actions to remediate this with the business stakeholders Data Optimization and Operations : Monitor and Operate DB Performance, manage indices, alerts, scaling on a daily basis Data Engineering technologies and roadmap : Analyze and choose the right database and related technologies for our evolving needs including data warehouses, data lakes, graph database, relational and non-relational databases and ETL tools. Be a knowledgable source to consult on DB design, optimization and operations for our existing and future DB technologies: Mongodb, dynamodb, rockset, postgres, snowflake. Oversee ETL, ELT processes that are used in the company, both inside R&D and in other departments (R&D, Opertations, Marketing), using AWS Glue, HighTouch, Airbyte. Design data tiering practices to find the tradeoffs for cost/performance/flexibility/query Data Security, Access control and regulation : Support our efforts to map out PII data in our database and limit access to it, Implement encryption at rest and other practices to protect our databases, Execute data deletion tasks like removal of personal data, customer(shop/account) data as part of our SOC2/GDPR compliance Business Intelligence : Choose and configure a BI system that makes all of our data accessible in a single system to various stakeholders and departments in the company (R&D, Product, Operations, Finance, Sales, Marketing, Customer Success, etc.). Create ad-hoc and periodic reports & dashboards for stakeholder, on demand.