Amazon Web Services (AWS), Analysis Skills, Communication Skills, Cross-Functional, Customer Relations, Customer Support/Service, Customer/Client Research, Data Analysis, Data Modeling, Data Quality, Data Warehousing, Database Design, Database Extract Transform and Load (ETL), Identify Issues, Performance Tuning/Optimization, Problem Solving Skills, Project Development, Query Optimization, Requirements Management, Stored Procedures, Technical Delivery, Technical Leadership, Technical Support
LOCATION
Jersey City, NJ
POSTED
1 day ago
Position: Databricks Data Engineer Lead
Location: New Jersey, NJ (Hybrid, 1, 2 days a week in office)
Purpose of the Position: As a Data Engineer lead, this position requires candidate who are enthusiastic about specialized skills in DE platforms like DataBricks/AWS and features. As a member of the team, you will help our clients, by building data platforms that supports to progress on their Data and Analytics journey.
Key Result Areas and Activities:
Driving Data Engineering Initiatives:
Work with clients to understand and define the data initiatives based on business needs
Review all project architectures/codes and contribute towards the development of the project delivery
Drive the Project & Technical Team:
Work with client to gather the data requirements
Provide required technical support to development team while delivering the code/project
Manage end to project deliverables as technical lead/spoc for clients.
Data Integration and ETL Development:
Design, develop, and implement data integration solutions using Data Engineering platforms like DataBricks and AWS
Performance Tuning and Optimization:
Conduct performance tuning and optimization of queries and data models.
Optimize data workflows for efficiency and scalability.
Database Design and Implementation:
Design and implement database objects such as tables, views, schemas, and stored procedures.
Ensure data quality and consistency across the data warehouse.
Collaboration and Communication for Account Growth:
Work closely with cross-functional teams to gather requirements and translate them into technical specifications.
Collaborate seamlessly with clients across multiple geographies.
Problem Solving and Troubleshooting:
Troubleshoot and resolve data-related issues.
Apply strong analytical and problem-solving abilities to ensure data quality.