Data Engineer

 

REQUIRED QUALIFICATIONS
• Bachelor''s degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field — plus 2+ years of related work experience.
• Must be located in the United States.
• 2+ years of hands-on data engineering experience delivering production data pipelines in enterprise environments.
• Strong proficiency in SQL and Python, including PySpark and Spark SQL for distributed data transformation.
• Hands-on experience with Databricks including Delta Lake, Unity Catalog, and workflow orchestration.
• Hands-on experience with Snowflake at production scale.
• Working experience with Microsoft Fabric including OneLake; familiarity with Fabric IQ semantic layer concepts.
• Working experience building data visualizations and reports in Power BI.
• Experience implementing data ingestion pipelines using batch, CDC, API, or streaming patterns within a unified ingestion framework.
• Solid data modeling skills, including dimensional modeling and lakehouse modeling patterns at the physical implementation level.
• Experience implementing pipeline testing — unit tests, integration tests, data quality checks, and reconciliation.
• Experience with DevOps practices for data pipelines — Git, CI/CD, and automated testing.
• Good communication skills, with the ability to convey technical progress and ask clarifying questions of both technical leads and business stakeholders.
• Strong problem-solving skills and the ability to execute independently on well-defined technical work in a fast-paced, agile environment.
PREFERRED QUALIFICATIONS
• Experience with Iceberg tables or other modern open table formats.
• Experience with HR data domains — talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
• Familiarity with Workday, ServiceNow HR, or comparable HR systems of record as authoritative sources for analytics.
• Exposure to real-time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming.
• Exposure to AI/ML pipelines or building data products that support ML workloads.
• Familiarity with legacy data platforms such as Teradata, Oracle, or SQL Server.
• Azure certifications or demonstrated experience with Azure-native data platform services.
• Familiarity with T-Mobile''s Omni lakehouse platform, MagentaBuilt integrations, or enterprise IT architecture standards.
• Familiarity with data privacy and regulatory compliance for HR data (GDPR, CCPA, employee data protection).

 

Mandatory Areas

Must Have Skills –

Skill 1 – Yrs of Exp –Data Engineering

Skill 2 – Yrs of Exp –Data Bricks

Skill 3 – Yrs of Exp –Python

 

 

Junior candidate from below company

Google, Meta, Amazon, Apple, Netflix, Microsoft, Nvidia, Salesforce, Oracle, IBM, Intel, Cisco, Adobe, Palantir, Snowflake Databricks, Twitter / X LinkedIn, Uber, Airbnb

 

Please ensure that candidates have graduated from the following colleges only with GPA above 3.5

• MIT

• Stanford University

• Carnegie Mellon University

• UC Berkeley

• Caltech

• Georgia Tech

• University of Michigan – Ann Arbor

• Cornell University

• University of Illinois Urbana-Champaign

• Purdue University

• University of Texas at Austin

• University of Washington

• University of Wisconsin – Madison

• Ohio State University

• Penn State University

• University of Maryland – College Park

• Virginia Tech

• NC State University

• University of Minnesota – Twin Cities

• Arizona State University

• University of Southern California

• Northeastern University

• Rensselaer Polytechnic Institute (RPI)

• Drexel University

• Worcester Polytechnic Institute (WPI)