Senior Data Engineer

Luxoft; Town of Poland (NY); On-site; USD 120,000 - 180,000; Full time

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

Project description

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

Responsibilities

• We are looking for Senior Data Engineer to implement a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

SKILLS

Must have

• Overall years of experience required 8+


• Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).


• Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.


• Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.


• Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.


• Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.


• Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)


• Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.


• Experience integrating metadata and governance processes into cloud-based data platforms


• Certification in Azure, Databricks, or other relevant technologies is an added advantage


• Experience with cloud-based analytical databases.


• Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.


• Experience with Python and Python-based ETL tools.


• Experience with shell scripting in Bash, Unix or windows shell is preferable.


• Demonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

Nice to have

• Experience with Elasticsearch


• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).


• Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.


• Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.


• Ability to plan, estimate and track progress of implementing features


• Computer Science and data science academic and education credentials