| Final In-Person Interview | Lead Data Engineer | Chicago, IL (Locals Only) at Chicago, Illinois, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3363667&uid=2bc3a383fb804fbe8e3ee9e642777f6f Please do not share profiles that are not relevant to the requirement. We are strictly looking for local candidates with the required experience and certifications. Kindly provide the following details along with the Photo Id/Valid Visa copies: Current Location: Work Authorisation: Consultant's Email & Phone Number: LinkedIn Profile URL: Date of Birth (YYYY): #: Role: Lead Data Engineer Location: Chicago, IL (Locals Only) Experience: 10+ Years Job Type: Contract/W2 Duration: Long Term Interview: Video + Final In-Person Interview What We Do NOT Want: Candidates without real-time Data Vault implementation experience Profiles with only support/maintenance work and no hands-on development No strong experience in Snowflake, SQL, Python/PySpark No experience with Kafka/EventHub streaming Candidates lacking Azure data platform experience (ADF, ADLS, Databricks) No experience in query optimization/performance tuning Only theoretical knowledge of DBT, Snowpipe, Tasks/Triggers Non-local candidates or candidates unwilling to attend in-person final interview in Chicago Less hands-on coding, more managerial/coordination profiles Candidates without CI/CD automation exposure Weak understanding of Snowflake architecture concepts (Virtual Warehouse vs Serverless Compute) Required Skills: Strong experience with: Snowflake / Snowpipe SQL Python / PySpark Hands-on experience in: Data Engineering Data Modeling techniques Data Vault implementation (real project experience required) Experience with: Kafka streaming Azure Event Hub Streaming data pipelines Strong Azure stack knowledge: ADLS ADF Databricks CI/CD automation Knowledge of: Snowflake Triggers & Tasks Virtual Warehouse vs Serverless Compute Query Optimization DBT and its advantages over other tools Responsibilities: Lead development of Azure-based data platforms Build and optimize scalable data pipelines Work on real-time/streaming data solutions Improve performance and query efficiency Looking forward to qualified local submissions only. Thanks & Regards Nikhila Gujjarlamudi [email protected] LinkedIn: linkedin.com/in/nikhilagujjarlamudi Website: https://tror.ai Address: 401 Ronan Way, Spring Hill, 37174 Keywords: continuous integration continuous deployment artificial intelligence wtwo trade national Idaho Illinois Tennessee Final In-Person Interview | Lead Data Engineer | Chicago, IL (Locals Only) [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3363667&uid=2bc3a383fb804fbe8e3ee9e642777f6f |
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| 09:54 PM 11-May-26 |