
Azure Data Engineer
eTeam · Houston, TX · Onsite
Strong hiring record · median 1 days open
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
Job Title
Azure Data Engineer
Location
Houston, TX 77079 (Onsite)
Duration
06 Months
Interview Process (Is face to face required?) Yes (2nd round)
Must Have Skills
- Azure Data Factory Pipelines, Data Flows (Mapping/Wrangling), Triggers, Integration Runtimes, Parameterization, Error Handling, and Retries.
- Azure Databricks, Databricks Notebooks, Jobs/Workflows, PySpark/Scala, Delta Lake, Cluster Configuration, and Optimization.
SQL
Expert-level SQL (CTEs, Window Functions, Query Tuning, and working with large datasets).
Nice to Have Skills
- Agile.
- Infrastructure as Code (IaC) exposure is a plus.
Detailed Job Description
Experience
5–8 years in Data Engineering, with at least 3 years on Azure.
Azure Data Factory
Pipelines, Data Flows (Mapping/Wrangling), Triggers, Integration Runtimes, Parameterization, Error Handling, and Retries.
Azure Databricks
Databricks Notebooks, Jobs/Workflows, PySpark, Scala, Delta Lake, Cluster Configuration, and Optimization.
Programming
Advanced Python or Scala (at least one), strong coding standards, modularization, and unit testing (e.g., pytest).
SQL
Expert-level SQL (CTEs, Window Functions, Query Tuning, and working with large datasets).
Data Storage Formats
ADLS Gen2, Delta Lake, Parquet, Partitioning, Z-Ordering, OPTIMIZE, and VACUUM.
Ops
CI/CD, Git, Branching Strategies, and CI/CD for ADF/Databricks Environment Promotion.
- Infrastructure as Code (IaC) exposure is a plus.
Minimum years of experience
8-10 years
Top 3 responsibilities
Coding and Development
UI testing
Stakeholder management
Skills
- Azure
- Azure Data Factory
- Azure Databricks
- Databricks
- PySpark
- Scala
- Delta Lake
- SQL
- Python
- pytest
- Parquet
- Git
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