Job Description


Job Overview

  • Job ID:

    J51226

  • Job Title:

    Project Lea

  • Location:

    Morrisville, NC

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

Job description:


Overall Data Project coordination, working with client stakeholders, PO and Persistent onsite and offshore team for task planning and resolving dependencies
Design and build scalable data pipelines and integrations using Snowflake, DBT, and SQL Server, supporting analytics and reporting needs.
Key Responsibilities:
Data Program Management
Overall Data Project coordination,
Strong Agile methodologies knowledge including Epic, stories creation and Agile tool setup and implementation
Working with client stakeholders, PO and Persistent onsite and offshore team for task planning and resolving dependencies for entire SDLC tasks
Coordinate with other Persistent teams for day to day tasks
Develop and optimize ETL/ELT workflows using DBT and SQL.
· Design and implement data models in Snowflake.
· Ensure data quality, integrity, and security across platforms.
· Collaborate with analytics and BI teams to support reporting needs.
· Participate in Agile Scrum ceremonies and contribute to sprint planning and reviews.
Required Skills:
· Overall experience of 12-15 years
· 4–6 years of experience as Project lead/manager for data engineering project.
Worked on complex programs which involves multiple teams/geographies
Comfortable with onshore offshore model
· Strong SQL programming experience.
· Hands-on experience with Snowflake and DBT.
· Familiarity with data warehousing concepts and performance tuning.
· Experience with version control (e.g., Git) and CI/CD pipelines.
Life science Industry experience is must
 

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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract