DREQUIRED SKILLS:
Degree in Computer Science or related stream from a reputable institution12+ years of total IT experience with at least 8+ years working in Data/AI projects and at least 4 years managing medium to large Data/AI projectsStrong experience working in an Onsite-Offshore model, should be handling more then 50 resource offshore onsite modelTechnical proficiency in Microsoft platform during the initial stage of the career preferredSuperior problem-solving skills, leadership qualities, influencing, communicating, and consulting skills, team/interpersonal skillsStrong analytical and creative problem-solving skillsStrong organizational skills; works well under pressure and with minimal supervisionExcellent verbal and written communication skillsAbility to manage & drive projects with metrics and data, create structure and templates as necessary for project reviewsAbility to effectively drive execution and own responsibility for overall success of projects Technical Competency1. Demonstrate Thought Leadership in discussions with business partners to ensure delivery of the most effective solutions for the identified business objectives2. Must have worked on several (at least 5+) projects building solutions for Data Pipelines, Data warehousing, Data Modelling on Azure Data Platform (AWS and GCP are good to have)3. Experience in design and development of Data pipelines and ETL using ADF, Databricks to move data from relational/structured/semi-structured data from source to data lake to data warehouse, on Azure4. Experience working with Data Lake, Synapse on Azure5. Experience in Data Modelling6. Experience with Azure/ SQL Server and extensive experience with SQL programming7. Experience in building scalable high performance reporting solution using Power BI, in both shared and dedicated capacity
Job Type: Full-time
Pay: $150,000.12 - $175,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Relocation assistance
- Vision insurance
Compensation package:
Experience level:
Schedule:
- 8 hour shift
- Day shift
- Monday to Friday
Experience:
- Azure Data Lake: 5 years (Required)
- Data modeling: 5 years (Required)
- Data warehouse: 5 years (Required)
- Data pipelines: 5 years (Required)
- aws: 10 years (Required)
- Google Cloud Platform: 10 years (Required)
- SQL: 7 years (Required)
License/Certification:
Location:
- San Francisco, CA 94103 (Required)
Ability to Commute:
- San Francisco, CA 94103 (Required)
Ability to Relocate:
- San Francisco, CA 94103: Relocate before starting work (Required)
Work Location: In person