Databricks Developer (Navalcarnero)

Databricks Developer (Navalcarnero)

22 ago
|
Cognizant
|
Navalcarnero

22 ago

Cognizant

Navalcarnero

As a Databricks Developer, you will design and build the enterprise data pipelines that power analytics, reporting and AI initiatives for a leading company in the energy sector. Join a fully remote data engineering team working hands-on with cutting-edge Lakehouse technology.

HIGH-IMPACT DATA PROJECTS

LATEST LAKEHOUSE TECH

FULLY REMOTE

LEARNING & GROWTH

Don't tick every box? If you meet around 70% of the requirements above, we'd still encourage you to apply.

About The Role

We are looking for a highly skilled Data Engineer with 5+ years of experience to design, build and optimize enterprise data pipelines on the Databricks Lakehouse platform for a leading energy sector company. In this role, you will be the hands-on technical driver responsible for transforming raw data into high-quality, actionable datasets. You will build and maintain a Medallion architecture, optimize Spark workloads, and ensure the data infrastructure seamlessly supports advanced analytics, BI dashboards and emerging Generative AI applications.

Key Responsibilities

Data Pipeline Engineering

Design,



build and maintain scalable, robust ETL/ELT pipelines using Python, SQL and Apache Spark within the Databricks environment.
Implement and manage a robust Medallion architecture (Bronze, Silver, Gold layers) to process and refine data from diverse sources.
Develop and maintain the Gold semantic layer specifically optimized for high-performance consumption by BI tools (e.g., Power BI).

Platform Optimization & Architecture

Optimize Databricks workloads, cluster configurations and Spark queries to ensure high performance and cost efficiency.
Work extensively with open table formats, specifically Delta Lake and Apache Iceberg, to ensure ACID compliance, time travel and efficient data storage.
Execute complex data migrations, including transitioning legacy workloads from traditional cloud data warehouses (e.g., AWS Redshift) into the Databricks Lakehouse.

Data Governance & Automation

Implement

📌 Databricks Developer (Navalcarnero)
🏢 Cognizant
📍 Navalcarnero

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