Jr. Data Engineer

Sumeru Solutions

Job Location:

Frisco, TX - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

REQUIRED QUALIFICATIONS
1 years of hands-on data engineering or software engineering experience including internships and academic project work that demonstrate production-quality engineering habits.

Working proficiency in SQL and Python.
Exposure to Spark (PySpark or Spark SQL) for distributed data transformation or strong willingness and demonstrated ability to learn it quickly.
Exposure to cloud data platforms Databricks Snowflake or comparable with a willingness to develop hands-on depth.
Familiarity with at least one BI tool (Power BI preferred Tableau or similar acceptable). Understanding of fundamental data engineering concepts data modeling ETL/ELT data quality source-to-target mapping.
Familiarity with Git code review practices and basic CI/CD concepts. Good communication skills able to ask clarifying questions communicate progress clearly and learn from feedback.
Strong problem-solving instincts curiosity and the discipline to deliver well-defined work to a high standard.
Eagerness to learn the full vertical from ingestion through visualization and to take on broader ownership over time.

PREFERRED QUALIFICATIONS

Hands-on coursework internship or project experience with Databricks (Delta Lake) or Snowflake at any scale.
Hands-on coursework internship or project experience with Microsoft Fabric OneLake or Power BI.
Exposure to Iceberg tables or other modern open table formats. Exposure to HR data domains talent acquisition workforce analytics compensation learning performance or people analytics.
Familiarity with Workday ServiceNow HR or comparable HR systems of record.
Exposure to streaming technologies (Kafka Azure Event Hub Delta Live Tables or Spark Structured Streaming).
Exposure to AI/ML pipelines or building data products that support ML workloads. Azure certifications (Azure Fundamentals Data Engineer Associate) or working toward them.
Familiarity with T-Mobiles Omni lakehouse platform MagentaBuilt integrations or enterprise IT architecture standards.
Familiarity with data privacy concepts (GDPR CCPA) and HR data handling considerations.

REQUIRED QUALIFICATIONS 1 years of hands-on data engineering or software engineering experience including internships and academic project work that demonstrate production-quality engineering habits. Working proficiency in SQL and Python. Exposure to Spark (PySpark or Spark SQL) for distributed da...

Working proficiency in SQL and Python.
Exposure to Spark (PySpark or Spark SQL) for distributed data transformation or strong willingness and demonstrated ability to learn it quickly.
Exposure to cloud data platforms Databricks Snowflake or comparable with a willingness to develop hands-on depth.
Familiarity with at least one BI tool (Power BI preferred Tableau or similar acceptable). Understanding of fundamental data engineering concepts data modeling ETL/ELT data quality source-to-target mapping.
Familiarity with Git code review practices and basic CI/CD concepts. Good communication skills able to ask clarifying questions communicate progress clearly and learn from feedback.
Strong problem-solving instincts curiosity and the discipline to deliver well-defined work to a high standard.
Eagerness to learn the full vertical from ingestion through visualization and to take on broader ownership over time.

PREFERRED QUALIFICATIONS

Hands-on coursework internship or project experience with Databricks (Delta Lake) or Snowflake at any scale.
Hands-on coursework internship or project experience with Microsoft Fabric OneLake or Power BI.
Exposure to Iceberg tables or other modern open table formats. Exposure to HR data domains talent acquisition workforce analytics compensation learning performance or people analytics.
Familiarity with Workday ServiceNow HR or comparable HR systems of record.
Exposure to streaming technologies (Kafka Azure Event Hub Delta Live Tables or Spark Structured Streaming).
Exposure to AI/ML pipelines or building data products that support ML workloads. Azure certifications (Azure Fundamentals Data Engineer Associate) or working toward them.
Familiarity with T-Mobiles Omni lakehouse platform MagentaBuilt integrations or enterprise IT architecture standards.
Familiarity with data privacy concepts (GDPR CCPA) and HR data handling considerations.