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Azure Data Engineer

eTeam · Houston, TX · Onsite

Strong hiring record · median 1 days open

100100

Hiring signal

Actively hiring

Posted today · still listed on the employer's own board · How we score

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In its favour

  • Posted today
  • Still listed on the employer's own board

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Azure Data Engineer at eTeam. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

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