BI Cloud Datawarehouse Developer II

BI Cloud Datawarehouse Developer II Location: Midtown Org Unit: Business Intelligence Work Days: Weekly Hours: 35.00 Exemption Status: Exempt Salary Range: $125,400.00 - $140,400.00 *As required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices Position Summary Responsible for the technical design and development activities for implementation of large-scale data solutions primarily in Azure, but not limited to Azure, AWS or Snowflake to support BI solutions in the cloud. Designs architectures for data integration and processing to provide high quality datasets and utilize Big Data processing tools to build data pipelines on Azure technology stack. Job Responsibilities Translates business requirements into data models that drive Data Lakes and/or Data Warehouse architectures. Works with cross-functional teams to gather, document, and approve business requirements for data analysis and reporting projects. Performs Data Ingestion Pipelines for collecting and transferring data from source systems in batch and real time using solutions such as change data capture (CDC) of Cloud and On-Premise Applications as Raw data or into Data Lakes. Design, develop, optimize, and maintain Cloud Data Platform pipelines that adhere to ELT and ETL principles and business goals using Azure Data Factory, Azure Spark, AWS Glue, Snowpark and/or SAP BODS. Design, develop and implement data integration processes to transform unstructured and disparate source data into the target Data Stores, Data lakes and Data Warehouses. Models the data for varieties of reporting and Analytics requirements in cloud databases like RedShift, Azure Synapse, google BigQuery and/or Snowflake Data Warehouse. Provides support in identifying existing data gaps, building new data pipelines, and providing automated solutions to deliver advanced analytical capabilities and enriched data to applications that support the organization's operations. Reviews, manages, optimizes & recommends improving performance by adjusting the models, applications and its parameters. Provides technical mentoring to other team members for best practices on data engineering and cloud technologies. Analyzes and troubleshoots data related issues in a timely manner and maintain Cloud Data Management best practices and standards. Identifies continuous process improvement opportunities and operationalize solutions for the same. Education Bachelor's Degree in related field Experience Bachelor's Degree in Computer Science or related field preferred; equivalent work experience will be considered 5-10 years of experience in designing and delivering data warehouse implementations and performing in-depth analysis of complex transactional and operational source systems Hands‑on experience with Azure Data Lake, Azure Data Factory, Synapse Analytics Hands‑on experience with Delta tables and implementing delta logic on data lakes and warehouse Hands‑on experience with implementing multi layered data lake architecture Migration of data from SAP Cloud and/or On‑Premise environments to Cloud Data Warehouse systems Power Bi experience is a plus Hands‑on experience in Python or Scala is preferred Demonstrate ability to develop complex SQL queries and Stored Procedures Certifications in Azure or AWS technologies is a plus Experience working in an Agile/Scrum environment Knowledge with SAP Finance or Human Capital Management modules highly desired Experience in Higher Education industry highly desired Knowledge in Research Administrative Systems and understanding of research attributes, workflows and processes Knowledge, Skills and Abilities Excellent troubleshooting and problem‑solving skills Excellent verbal and written communication skills. Working Conditions/Physical Demands Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world‑class education and career opportunities, to further the founding principle of “any person, any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy‑related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. #J-18808-Ljbffr