Senior Databricks Data Engineer (Investment Data)

🔥Become a Luxoft employee🔥

Our Benefits:

💰Paid Referrals

💻Equipment: laptop and monitor

🩺Private Medical & Dental care & Life Insurance covered

🏋🏽 ♀️ MyBenefit program (sports card, well-being program etc.)

🌎 Internal Mobility program - possibility of rotation between projects, locations, accounts

🎓 LuxTalent platform (webinars, training, courses)

...and more!

Mandatory Skills Description:

Mandatory Skills:

• Advanced Databricks Experience. Deep knowledge of Databricks architecture, Delta Lake, job orchestration, cluster management, and performance tuning.

• Experience working with investment data, such as market data, portfolio holdings, transactions, pricing data, risk metrics, and financial instruments

• Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows.

• Advanced SQL & Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization.

• Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing data platforms in cloud environments, including storage, security, and networking considerations.

Nice-to-Have Skills Description:

• Strong Hands-on Expertise in Palantir Foundry. Proven experience with Foundry pipelines, ontologies, data lineage, transformations, and platform governance.

• Proven Migration Experience from Palantir / to Databricks. Demonstrated experience leading or executing platform migrations, including pipeline conversion, data model redesign, and production cutover.

• Familiarity with Dynatrace or Datadog for system observability and monitoring.

• Databricks certification, cloud certifications (Azure/AWS), or enterprise data architecture certifications.

Languages:

English: B2