Hi,
Please go through the JD,
Position: Senior Data Engineer
Location: Columbus, OH
Duration: 6-12 month open-ended Contract (potential extension)
Required Skills:
Snowflake (1st priority), SQL, Python, AzureFast moving team - looking for someone open to adapting to change
Notes to vendor:
- Candidates must be able to convert to FTE.
- Role requires 4 days onsite per week (Mon-Thurs) in Columbus, OH (Downtown area).
- Role requires an onsite interview in Columbus, OH. (Looking for local candidates due to the onsite interview requirement.)
- Looking for strong communication and technical skills. Should have experience talking to stakeholders.
- This is not required but the strongest Engineer on this team used to be a Data Scientist and moved to a Data Engineer role. Came from a Finance and PhD background.
- Candidates from large financial institutions (such as Nationwide Insurance) haven’t done well. Candidates from a start-up background have done well since the environment is always changing.
- Interview Process: 1. Hacker Rank (30 min)2. Virtual (30 min)3. Onsite (up to 1 hr)
We are looking for a Senior Data Engineer who will help make our next decade just as revolutionary as our past. If you''re one of the super-talented who thrive on change, aren''t afraid to take risks, love to make a difference, want to cultivate the better world, you''re the right fit. Come grow with us.
The Senior Data Engineer for Enterprise Data will be an active participant and driver in building the innovative enterprise data solution leveraging both cloud and on-prem technologies. Responsibilities include building data engineering solutions and processes to enable analytics, business intelligence, MDM and mobility. This role will be responsible for designing new data pipelines to leverage data at scale, coaching best development standards and practices, and supporting development teams to ensure successful delivery.
WHAT YOU’LL DO
· Actively engage in technology discovery and implementation for both our Cloud (i.e. Azure, Snowflake, etc) and on-prem platforms to build solutions for future architecture and systems
· Provide logical and physical data design, and database modeling
· Provide end-to-end support for solution integration (Data Pipelines), including designing, developing, deploying, and supporting solutions for existing platforms
· Perform gap analysis on current state and help define the new data architecture
· Manage code versions and deployment processes in source control and coordinate changes across teams
· Work with team members to solve complex data issues around data integration, unusable data elements, unstructured data sets, and other data processing incidents
· Partner with enterprise teams, data scientists, architects to define design requirements and solutions
WHAT YOU’LL BRING TO THE TABLE
· Have a B.A./B.S. and 8+ years of relevant work experience, or an equivalent in education and experience
· Hands on experience with SQL and Snowflake
· 2+ years experience with Cloud platform technologies particularly using Azure Services (ADLS, ADF, Azure Functions, etc.), Snowflake, DBT, etc.
· Experience with MPP platform and data modernization initiatives using PaaS/SaaS services
· Experience with data models (relational, Star schema, Data vault, Document, etc.)
· Experience working with Continuous Integration and Continuous Deployment (CI/CD) tooling using Azure DevOps
· Experience leveraging agentic AI for development
· Experience building data pipelines with DBT
· Hands on experience with Python
Submission details
Full Legal Name as per SSN:
Email ID:
Contact Number:
Current location (City name, State, ZIP code) :
DOB: (dd/mm)
Are you willing to relocate? (Yes/NO)
Best time to reach (Mon-Fri):
LinkedIn ID(Must) :
Initial entry of US (Visa status) and the current status Approval (year):
Are you done with your current project? (Yes/No):
(If YES please mention Last date of the Project):
Last 4 digits of SSN :
Highest Degree:
Name of the University, specialization, Location (Start Date (MM/ YYYY)– Ending Date(MM/YYYY)):
Professional references in below format is mandatory for client submission:
Note: GMAIL, YAHOO, OUTLOOK mails are not Considered
Reference 1 :
Client Name:
Reference Name:
Reference Job Title:
Reference Professional/ Official E-mail Address:
Reference Phone Number:
Reference 2 :
Client Name:
Reference Name:
Reference Job Title:
Reference Professional/ Official E-mail Address :
Reference Phone Number:
Thanks & Regards,
Vasu
Intellisoft Technologies Inc.,
11494 Luna Road, Ste 280
Farmers Branch, TX -75234
(O) ext 131