Azure Data Engineer

$115k

PeopleNTech

Azure Data Engineer
Fort Worth, TX
Final Round will be Onsite
Rate : $115k / Annum
Seeking a 8 + Exp Azure Data Engineer to design, build, and optimize scalable, secure data solutions on Microsoft Azure. The role focuses on building batch/streaming pipelines with SQL, Python, Spark , and Azure-native services, following Agile and DevOps best practices.

Responsibilities

Design, develop, and maintain data pipelines (batch & streaming) using Azure Data Factory , Databricks , and EventHub .
Build ETL/ELT workflows for ingestion, transformation, and curation across Blob Storage and Azure Data Lake (ADLS) .
Develop scalable processing jobs with PySpark/Spark SQL for large datasets and performance tuning.
Implement DevOps practices: version control, CI/CD, environment promotion using Azure DevOps and Maven/Build pipelines .
Ensure data quality, reliability, and observability (logging, alerting, monitoring) across pipelines.
Optimize storage formats and partitioning (e.g., Parquet/Delta , Z-ordering) for cost and performance.
Collaborate with product, analytics, and platform teams in Agile/Scrum to deliver incremental value.
Enforce security and governance (access controls, secrets, key vaults, data lineage) across Azure services.
Write efficient SQL for transformations, validations, and performance optimization.
Document solutions (data flows, runbooks) and support production operations and incident resolution.

Mandatory Skills

5-7 years building data solutions using Agile and DevOps practices
5-7 years hands-on with SQL , Python , and Apache Spark (PySpark/Spark SQL)
5-7 years with Cloud Technologies , with strong preference for Microsoft Azure
Deep expertise with Azure services:
- Azure EventHub (stream ingestion)
- Azure Data Factory (ADF) (orchestration, ETL/ELT)
- Azure Databricks (Spark, notebooks, Delta)
- Azure DevOps (repos, pipelines/CI-CD)
- Azure Blob Storage
- Azure Data Lake (ADLS Gen2)

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Vacancy posted 2 days ago

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