Senior Azure Data Engineer — Big Data & Cloud Platform

Luxoft

Town of Poland (NY)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Luxoft seeks a Senior Data Engineer to help modernize and scale an eCommerce platform for a major US-based retailer. You will design and implement data solutions that handle large data volumes and integrate with current cloud architecture.

The role focuses on Azure-powered data pipelines, data modeling, and governance, collaborating with cross-functional teams to deliver reliable, scalable data platforms while mentoring engineers and aligning with business priorities.

Qualifications

  • 8+ years of overall experience in data engineering.
  • 3+ years hands-on with Azure Data Factory and Synapse.
  • Experience designing data models to support storage and retrieval.
  • Strong knowledge of Azure services for data platforms (ADLS, Synapse, Data Factory, Databricks).
  • ETL/ELT pipelines from multiple sources into data lakes/warehouses.
  • Data integration from databases, APIs, and external providers.
  • Knowledge of data warehousing concepts (dimensional modeling, star schemas).
  • Proficiency in SQL and performance tuning on cloud storages.
  • Experience with metadata and governance on cloud data platforms.

Responsibilities

  • Implement data solutions for processing large data volumes.
  • Integrate solutions with existing architecture and cloud platforms.
  • Design and optimize ETL/ELT pipelines for reliability and scalability.
  • Lead cross-functional engineering teams and mentor engineers.

Skills

Big data processing
Azure Data Factory
Azure Synapse
SQL
Python
ETL/ELT design
Data modeling
Data warehousing
Leadership

Education

CS or data science degree

Tools

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure Databricks
pySpark
SQL

Job description

Luxoft seeks a Senior Data Engineer to help modernize and scale an eCommerce platform for a major US-based retailer. You will design and implement data solutions that handle large data volumes and integrate with current cloud architecture.

The role focuses on Azure-powered data pipelines, data modeling, and governance, collaborating with cross-functional teams to deliver reliable, scalable data platforms while mentoring engineers and aligning with business priorities.

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