Job Description
Direct message the job poster from The Denzel Group
Director of Recruiting | Technical Recruiter / Talent Acquisition - Coach and Mentor Hybrid - 1st 90 days onsite 5 days per week - Camden, NJ / After 90 days - 3 days onsite / 2 days remote.
Salary Range - $130 to $140k + bonus + benefits/PTO/401K
US Citizens and GC holders are only being considered - H1B Sponsorship is not feasible
PRIMARY RESPONSIBILITIES:
Data Ingestion and Storage:
Designs, develops, and maintains scalable, efficient data pipelines using Data Factory, and Databricks, leveraging Py Spark for complex data transformations and large-scale processing.
Builds and manages extract, transform, and load (ETL)/extract, load, transform (ELT) processes to seamlessly extract, transform, and load data from on-premises Oracle systems, customer relationship management (CRM) technology, and connected vehicles into data storage solutions, such as Azure Data Lake Storage and Azure SQL Database.
Creates high-code data engineering solutions using Databricks to clean, transform, and prepare data for in-depth analysis.
Develops and manages data models, schemas, and data warehouses, utilizing Lakehouse Architecture to enhance advanced analytics and business intelligence.
Leverages Unity Catalog to ensure unified data governance and management across the enterprise’s data assets.
Optimizes data storage, retrieval strategies, and query performance to drive scalability and efficiency in all data operations.
Data Integration:
Integrate and harmonize data from diverse sources including on-premises databases, cloud services, APIs, and connected vehicle telematics.
Ensure consistent data quality, accuracy, and reliability across all integrated data sources.
Utilizes GitHub for version control and collaborative development, implementing best practices for code management, testing, and deployment.
Develops workflows for continuous integration (CI) and continuous deployment (CD), ensuring efficient delivery and maintenance of data solutions.
ADDITIONAL RESPONSIBILITIES:
Work closely with Data Science, Enterprise Data Warehouse, and Data Visualization teams, as well as business stakeholders, to understand data requirements and deliver innovative solutions.
Collaborate with cross-functional teams to troubleshoot and resolve data infrastructure issues, identifying and addressing performance bottlenecks.
Provide technical leadership, mentorship, and guidance to junior data engineers, promoting a culture of continuous improvement and innovation.
REQUIRED SKILLS AND PERSONAL QUALIFICATIONS:
Technical Expertise: Extensive experience with Azure Data Factory, Databricks, and Azure Synapse, as well as proficiency in Python and PySpark.
Data Integration: Experience integrating data from on-premises Oracle systems and connected vehicle data into cloud-based solutions.
Lakehouse Architecture & Governance: Deep knowledge of Lakehouse Architecture and Unity Catalog for enterprise data governance.
Version Control & Collaboration: Demonstrated proficiency in GitHub for development, collaboration, and deployment in large-scale environments.
Infrastructure as Code (IaC): Experience with Infrastructure as Code tools such as Resource Manager (ARM) templates or terraform.
Problem-Solving & Troubleshooting: Strong analytical skills with the ability to diagnose and resolve complex data infrastructure challenges.
Collaboration: Proven ability to work effectively with Data Science teams, business stakeholders, and cross-functional teams to drive data-driven insights.
Communication: Excellent verbal and written communication skills with the ability to translate technical concepts to non-technical stakeholders.
Education/Experience Requirements: BA/BS with 4 to 6 years of relevant experience. Relevant experience accepted in lieu of a degree.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Information Technology
Industries Motor Vehicle Manufacturing
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Job Tags
Full time, Remote job, H1b,