Senior Data Integration Manager - ETL & DW Platform

VNS Health; New York (NY); On-site; USD 110,000 - 147,000; Full time

Benefits offered by this job

Referral bonus opportunities

30 days PTO + 9 holidays

Health insurance for you and family

Employer-matched retirement funds

Tuition reimbursement

Job summary

VNS Health is seeking a seasoned Data Integration Leader to manage the Enterprise Data Integration Platform and drive ETL development for data warehouse needs. You will design and implement data movement, testing, and production support across diverse data sources.

The role requires five years of experience in data integration projects, proficiency with Snowflake, Python, Airflow, and AWS, and strong SQL and scripting skills.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• Minimum five years in managing Data Integration projects and ETL for Data Warehouse.
• Hands-on experience with Snowflake, Python, Airflow and AWS cloud environment.
• Experience creating mappings, sessions, workflows, and Unix shell scripting.

Responsibilities

• Manage ongoing implementation and maintenance of Enterprise Data Integration Platform.
• Develop, test, and manage data warehouse using extracts from various sources.
• Lead planning, timelines, and coordination of departmental activities.
• Provide technical guidance and training to data warehouse staff.
• Deliver Prototypes, test scripts, and data modeling within warehouse environment.
• Oversee unit and system testing and promote code to higher environments.

Skills

Data integration management

ETL development

Snowflake

Python

Airflow

AWS

Unix shell scripting

Autosys/Control-M

SQL

Data modeling

Education

Bachelor's Degree in Computer Science or Information Systems

Tools

Snowflake

Python

Airflow

AWS

Autosys

Control-M

Oracle SQL

Job description

VNS Health is seeking a seasoned Data Integration Leader to manage the Enterprise Data Integration Platform and drive ETL development for data warehouse needs. You will design and implement data movement, testing, and production support across diverse data sources.

The role requires five years of experience in data integration projects, proficiency with Snowflake, Python, Airflow, and AWS, and strong SQL and scripting skills.