Senior Data Engineer (Databricks Migration)

Participate in the migration of a large-scale analytical platform from BigQuery to Databricks

Design and implement scalable Lakehouse architectures using Databricks and Delta Lake

Analyze existing ETL / ELT workloads and define migration approaches

Develop and optimize data pipelines processing large volumes of retail and analytical data

Implement incremental processing strategies and scalable transformation frameworks

Build and maintain Spark-based data processing solutions using PySpark

Design and maintain medallion architecture layers including Bronze, Silver, and Gold

Implement data governance and security best practices using Unity Catalog

Collaborate with Data Science, Analytics, Product, and Customer Engineering teams

Participate in architecture discussions and technical solution design

Develop reusable data platform components and engineering standards

Conduct code reviews and contribute to platform reliability and maintainability

Troubleshoot and optimize complex SQL and Spark workloads

Support production deployments and platform modernization activities

5+ years of professional experience as a Data Engineer

Strong programming skills in Python and advanced SQL

Hands-on commercial experience with Databricks

Strong knowledge of Apache Spark, primarily PySpark

Experience designing and building modern cloud-based data platforms

Experience developing ETL / ELT pipelines and large-scale data processing solutions

Hands-on experience with Delta Lake

Experience with Spark Declarative Pipelines

Experience with cluster monitoring, metrics analysis, and performance optimization

Strong understanding of distributed data processing architectures

Solid understanding of data warehousing concepts and dimensional modeling

Experience with Airflow or similar orchestration tools

Experience optimizing complex analytical SQL workloads

Experience implementing CI / CD practices for data engineering platforms

Strong troubleshooting and performance optimization skills

Ability to work collaboratively in cross-functional international teams

Upper-Intermediate or higher English level

WILL BE A PLUS

Experience working with GCP cloud services

Experience with AWS or Azure cloud platforms

Experience in retail analytics or pricing optimization domains

Experience supporting machine learning or AI-related data workloads

Experience with platform modernization and cloud migration initiatives

PERSONAL PROFILE

Strong analytical and problem-solving mindset

Proactive and ownership-driven approach

Ability to work independently and collaboratively

Good communication and stakeholder collaboration skills

Passion for scalable data engineering and modern data platforms

Interest in continuous learning and technology innovation

Are you a Senior Data Engineer passionate about building scalable, high-performance data platforms and working with modern Lakehouse technologies? Join Sigma Software ’s Data Engineering Center of Excellence and contribute to the modernization of an enterprise-scale analytics ecosystem for the retail domain.

We are looking for a Senior specialist with strong Databricks, PySpark, and cloud data engineering expertise to participate in the migration of a large-scale analytical platform from BigQuery to Databricks. You will collaborate with international teams, contribute to architectural decisions, and help shape reliable and scalable data solutions.

We at Sigma Software create opportunities for continuous learning, technology growth, and meaningful engineering impact while working on complex international projects.

CUSTOMER

Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and intelligent pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support data-informed pricing decisions at scale for global retail organizations.

PROJECT

The project focuses on the strategic migration of a large-scale analytical platform from a legacy BigQuery ecosystem to a modern Databricks Lakehouse architecture. The platform processes high-volume retail datasets, machine learning workloads, analytics pipelines, and customer-specific business logic.

As part of the modernization initiative, the engineering team is implementing scalable Spark-based processing, Delta Lake architecture, medallion data layers, and modern governance practices. The role offers an opportunity to work with distributed data processing systems, optimize large-scale workloads, and contribute to the evolution of an enterprise-grade data platform.

Key Technologies: Databricks, Apache Spark, PySpark, Delta Lake, Python, SQL, Airflow, GCP, CI/CD, Unity Catalog

Originally posted on Himalayas