Rebuild analytics pipelines and integrate new data models into the data infrastructure Refactor existing workflows from LASR/MSS to Databricks and PySpark Develop familiarity with the ICAM data model and support data integration efforts Assess and identify gaps between existing datasets and new data structures from STEP and ICAM Support exploratory analytics use cases including analyzing consultant organization behavior and understanding Field Consultant preferences Explore opportunities to leverage tools like Claude for ad hoc data access based on progress of core data integration work
What You Need
Strong data engineering expertise Experience with Databricks and PySpark Experience in refactoring workflows from LASR/MSS to modern platforms Strong data analysis skills to identify gaps between datasets and new data structures Familiarity with ICAM data model Experience working with complex data environments Prior experience within the financial industry is helpful Power BI experience is a nice-to-have
Domain Experience (If any) Financial / Institutional business experience preferred
Location Downtown LA CA
Onsite Requirement Yes
Number of days onsite 4 days
Required Skills:
Skill 1 Strong Data Engineering expertise Skill 2 Databricks Skill 3 PySpark Skill 4 Data pipeline development and rebuilding Skill 5 Integration of new data models Skill 6 Refactoring workflows from LASR/MSS Skill 7 Strong Data Analysis (gap analysis between datasets and new structures) Skill 8 Familiarity with ICAM data model
The Opportunity Rebuild analytics pipelines and integrate new data models into the data infrastructure Refactor existing workflows from LASR/MSS to Databricks and PySpark Develop familiarity with the ICAM data model and support data integration efforts Assess and identify gaps between existing data...
The Opportunity
Rebuild analytics pipelines and integrate new data models into the data infrastructure Refactor existing workflows from LASR/MSS to Databricks and PySpark Develop familiarity with the ICAM data model and support data integration efforts Assess and identify gaps between existing datasets and new data structures from STEP and ICAM Support exploratory analytics use cases including analyzing consultant organization behavior and understanding Field Consultant preferences Explore opportunities to leverage tools like Claude for ad hoc data access based on progress of core data integration work
What You Need
Strong data engineering expertise Experience with Databricks and PySpark Experience in refactoring workflows from LASR/MSS to modern platforms Strong data analysis skills to identify gaps between datasets and new data structures Familiarity with ICAM data model Experience working with complex data environments Prior experience within the financial industry is helpful Power BI experience is a nice-to-have
Domain Experience (If any) Financial / Institutional business experience preferred
Location Downtown LA CA
Onsite Requirement Yes
Number of days onsite 4 days
Required Skills:
Skill 1 Strong Data Engineering expertise Skill 2 Databricks Skill 3 PySpark Skill 4 Data pipeline development and rebuilding Skill 5 Integration of new data models Skill 6 Refactoring workflows from LASR/MSS Skill 7 Strong Data Analysis (gap analysis between datasets and new structures) Skill 8 Familiarity with ICAM data model