Syncreon Consulting
Computer And Network Security
DataEngineer-MCP-ModelContextProtocol
Neural analysis suggests this role is
optimal for entry candidates.
“Data Engineer - MCP - Model Context Protocol at Syncreon Consulting. Skills: Databricks, DBT, Snowflake, SQL. Ingest and process data. Build and maintain pipelines”
Industry & Context.
What They're Looking For.
Must Have
Hands-on experience with Databricks, Hands-on experience with DBT, Hands-on experience with Snowflake, background in ETL/ELT pipeline development, Experience with enterprise SaaS systems, Solid SQL knowledge, Solid Python knowledge, knowledge of data quality frameworks
What You'll Do.
Ingest and process data
Build and maintain pipelines
Deliver curated datasets
Implement data quality tests
Ensure performance optimization
Ensure cost efficiency
Ensure compliance with governance standards
Provide feature ready datasets
How You'll Work.
Team & Collaboration
Collaborate with Knowledge Management team
Full Job Description
We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Responsibilities 1. Ingest and process data from Salesforce (Investments), Dynamics 365 & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education). 2. Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML. 3. Design simple, reusable data models to support training and inference. 4. Implement data quality tests, documentation, and lineage in DBT 5. Ensure performance optimization, cost efficiency, and compliance with governance standards. 6. Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets. Requirements 1. Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning). 2. Strong background in ETL/ELT pipeline development. 3. Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur). 4. Solid SQL and Python skills; knowledge of data quality frameworks. Regards, Mohammed ilyas, PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.
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