BI Cloud Datawarehouse Developer II - New York
21 hours ago
Job description
Title:
BI Cloud Datawarehouse Developer II
Location:
Midtown
Org Unit:
Business Intelligence
Work Days
Weekly Hours: 35.00
Exemption Status:
Exempt
Salary Range:
$125, $140,400.00
As required under NYC Human Rights Law Int 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 ResponsibilitiesTranslates 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.
Licenses and Certifications
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.
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.
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