Senior Project Manager
HCL Technologies
Senior Project Manager
New Jersey
USA
Job Family
Program/Delivery/Capability Management
No. of Positions
1
Job Description (Posting).
New Billing, Exclusive, Potential
Project Manager - Data
The Manager, Data Engineering supports our business goals by managing Data Engineers who design, implement, and maintain data pipelines using cloud-native tools in a modern data stack.
JOB RESPONSIBILITIES-
Manage teams of Data Engineers. Responsibilities include line management, performance management, and professional development for those employees along with interviewing and onboarding new team members.
Manage individuals and lead projects that involve others.
Lead team that designs end-to-end data pipelines using cloud-native solutions to extract, load, and transform data from disparate data sources to a cloud data warehouse.
Present findings and recommendations to customers in a clear and concise way to drive appropriate outcomes in support of the team.
Capable of formatting and distributing custom data extracts through various means (e.g., custom SFTPs, APIs (e.g., RESTful), and other bulk data transfer mediums) and optimizing data storage options based on business requirements.
Create models to transform raw data into analytics ready data structures.
DevelopDesign database structure and function, schema design, and database testing protocols.
Establish and enforce engineering best practices and standards. Contribute to engineering wiki and document work.
Contribute to and oversee the process of defining company data assets (data models) and custom client workflows, as well as standardized data quality protocols.
Collaborate with both technical and non-technical stakeholders including IT, Data Science, and various team members across a diverse array of business units.
Work closely with IT team whenever necessary to help facilitate, troubleshoot, or develop database connectivity between internalexternal resources (e.g., on-premises Azure Data Lakes, Data Warehouses, and Data Hubs).
Implement and enforce enterprise reference architecture and ensure that data infrastructure design reflects enterprise business rules as well as data governance and security guidelines.
Communicate and collaborate with business and technical stakeholders to gather business needs as well as functional requirements that inform product and resource design and ensure that technical implementation considerations are understood and accepted.
Mentor junior team members across the business
QUALIFICATION REQUIREMENTS-
Bachelor s degree (BSBA) in Information Systems, Software Engineering, Computer Science, Data Engineering, or related field required. Master s degree (MSMA) preferred.
Experience leading a high performing team and working across multiple stakeholders to deliver results while educating and growing team members.
Experience with ETLELT, taking data from various data sources and formats and ingesting into a cloud-native data warehouse required.
Experience with Azure Stack (Data LakeBlob Storage, PowerBI Services, Azure Data Factory (or equivalent), Databrick) and production level experience with on-premises Microsoft SQL Server required.
Experience with one of the following: Python, R, andor Scala as well as standard analytic librariespackages (e.g., pandas, Numpy, dplyr, data table, stringr, Slick, andor Kafka) and related distribution frameworks required.
Strong verbal and written communication skills required.
Familiarity with agile and lean concepts that drive towards MVPs and iterative learning to generate the desired business and technology outcomes required.
Experience with DataRobot, Domino Data Labs, Salesforce Marketing Cloud, Veeva CRM.
Experience with US healthcare and healthcare data, as well as familiarity with HIPAA guidelines, and best practices for handling and storing PHI and PII.
Experience with healthcare marketing analy
Employee Group
Business Line FT
City
Middlesex County
Entity
CSW
Auto req ID
1482099BR
Expected Date of Closure
30-Dec-2024
Skill (Primary)
Project Management Skills (APPS)-Program Management-Program Management
Skill Level 3 (Secondary Skill 1)
Data Fabric-Azure-Azure Databricks
Skill Level 3 (Secondary Skill 2)
Data Science-Advanced Analytics-Python
Skill Level 3 (Secondary Skill 3)
Data Fabric-Azure-Azure Data Factory (ADF)
Skill Level 3 (Secondary Skill 4)
Data Fabric-Self-Service BI-Microsoft PowerBI
Skill Level 3 (Secondary Skill 5)
Data Fabric-Cloud Datawarehouse-Azure Data Lake (ADL)