IT - Technology Lead | Cloud Integration | Azure Data Factory (ADF)

POC: Sam Chavez

ATTENTION ALL SUPPLIERS!!!

READ BEFORE SUBMITTING:
UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
We prioritize endorsing those with complete and accurate information
Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
Please submit profiles within the max proposed rate.
Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.

MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.

Job Title: Technology Lead | Cloud Integration | Azure Data Factory (ADF) Data Engineer
Work Location & Reporting Address: Boston, MA 02109 (Onsite-Hybrid. Client will consider candidates willing to relocate)
Contract duration: 6
MAX VENDOR RATE: $75 per hour max
Target Start Date: 13 Oct 2026
Does this position require Visa independent candidates only? Yes

Must Have Skills:
Databricks
Data warehousing
Pyspark
Scala
SQL
Azure

Nice to Have Skills:

Detailed Job Description:
Databricks Engineer: 9+ years of total experience with 5+ years relevant experience in the mandatory skills.

Mandatory Skills: Databricks, Hadoop, Python, PySpark, Scala, SQL, Azure/AWS cloud services

Required Skills & Experience:
Very strong hands-on experience in Databricks with Azure cloud service in Data engineering/Data processing development projects implementing on Data warehouse.
Hands-on experience in Azure/AWS Cloud-based development and integration
Proficiency in programming languages Scala and Spark Data frame for data processing and application development
Strong knowledge and experience in Facts, Dimensions, data Partitions, and handling large volume of data.
Experience in handling large data in Databricks and performance optimization as well
Practical experience with Data Engineering, Data Ingestion/Orchestration and the accompanying DevOps with CI-CD tools
Strong knowledge of Spark, Databricks SQL - Data engineering pipeline implementing in Data warehouse
Experience in offshore/onshore model and Ability and agile methodology.
Gathering requirements, understand the business need and regular discussion with tech on design, development activities.
Should have good experience working with client architect/design team to understand the architecture, requirements and work on the development.
Experience working in a Financial Industry.
Certification on Databricks and Azure will be added advantage

Minimum Years of Experience:
9+ years, relevant skills 5+ yers

Certifications Needed:
None

Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Databricks
Azure
Python

Interview Process (Is face to face required?)
Virtual

Any additional information you would like to share about the project specs/nature of work:

Project Code: ITG Global Staff Aug services SoW for DN