Senior Data Engineer

Luxoft; Mexico; On-site; PHP 7,384,615 - 11,076,922; Full time

Job summary

Luxoft is seeking a Senior Data Engineer to modernize and maintain an eCommerce platform for a large US-based retailer. The role focuses on processing huge data volumes and integrating data solutions into the existing architecture across multiple domains.

The ideal candidate has 8+ years of experience in data engineering, strong Azure Data Factory and Synapse skills, and proven ability to design robust data models and scalable ETL/ELT pipelines.

Qualifications

• Overall years of experience required 8+.
• Hands-on with Azure Data Factory and Synapse (3+ years).
• Strong data modeling across conceptual, logical, physical models.
• Extensive Azure services knowledge (ADLS, Synapse, Databricks, pySpark).
• ETL/ELT pipelines to data lakes/warehouses.
• Data integration from databases, APIs, external providers.
• SQL proficiency for data warehouses.
• Metadata and governance on cloud platforms.
• Azure/Databricks certifications are a plus.
• Cloud-based analytical databases experience.
• Experience with Azure MI, Azure Postgres, Cosmos DB, Analysis Services, Informix.
• Python and Python-based ETL tools.
• Shell scripting (Bash/Unix/Windows) preferred.

Responsibilities

• Implement a solution to process big data volumes.
• Integrate the solution with the current architecture.

Skills

Data modeling

SQL

Python

ETL/ELT

Leadership

Stakeholder comms

Cloud analytics

API integration

Shell scripting

Tools

Azure Data Factory

Azure Synapse

Azure Data Lake Storage

Azure Databricks

pySpark

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