Data Engineer Lead
Must Have Technical/Functional Skills
- Strong knowledge of Extraction Transformation and Loading (ETL) processes using frameworks like Azure Data Factory or Synapse or Databricks; establishing the cloud connectivity between different system like ADLS ,ADF, Synapse, Databricks etc.
- Experience in TSQL programming along with Azure Data Factory framework and Python scripting;
- A minimum of 10+ years experience with large SQL data marts with at least 3+ years of experience as Tech Lead
- Strong analytical skills, multi-tasking, working against tight deadlines, and active hands-on management of work
- Challenge mindset and attention to detail to complex issues
- Expert relational database experience.
- Candidate should demonstrate ability to navigate through massive volumes of data to deliver effective and efficient data extraction, design, load, and reporting solutions to business partners,
- Minimum 8 years of troubleshooting and Supporting large databases and testing activities
- Identifying reporting, and managing database security issues, user access/management.
- Designing database backup, archiving and storage, performance tunning, ETL importing large volume of data extracted from multiple systems, capacity planning
- Financial institution data mart experience is an asset.
- Experience in .net application is an asset
- Experience and expertise in Tableau driven dashboard design is an asset
- Work well independently as well as within a team
- Proactive, organized, excellent analytical and problem-solving skills
- Flexible and willing to learn, can-do attitude is key
- Strong verbal and written communication skills
Salary Range- $115,000-$120,000 a year
#LI-OJ1
Desired Skills
Data Integration
Salary Range
$115,000-$120,000 a year
Desired Candidate Profile
Qualifications : BACHELOR OF COMPUTER SCIENCE