Fulltime Only- Sr. Azure Data Engineer/Architect - Local to CA only

E-Solutions; Los Angeles (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading tech firm located in Los Angeles is seeking a highly skilled Azure Data Engineer. This role involves designing and optimizing large-scale data pipelines, focusing on performance and scalability. The ideal candidate will possess strong expertise in Databricks, SQL, and Python, and will work closely with various teams to deliver data solutions. Proficiency in Cloud ETL tools and experience with big data processing are essential. If you thrive in a dynamic environment, we would love to hear from you.

Qualifications

• Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture).
• Experience in relational databases and big data processing.
• Familiarity with Azure Blob Storage and ADLS.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Leverage PySpark/Spark and SQL to transform and process large datasets.
• Monitor and troubleshoot data pipelines.

Skills

Azure Cloud Services

SQL

Python

Databricks

Data Warehouse

Cloud ETL tools

Spark

PySpark

Tools

Databricks Runtime

GitLab

Job description

Location : Los Angeles CA (Fully Onsite )

We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability, and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.

Technical Skills

• Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
• Proficiency in Azure Cloud Services.
• Solid Understanding of Spark and PySpark for big data processing.
• Experience in relational databases.
• Knowledge on Databricks Asset Bundles and GitLab.

Preferred Experience

• Familiarity with Databricks Runtimes and advanced configurations.
• Knowledge of streaming frameworks like Spark Streaming.

Certifications

Key Responsibilities:

• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Leverage PySpark/Spark and SQL to transform and process large datasets.
• Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.
• Work Closely with multiple teams to prepare data for dashboard and BI Tools.
• Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.

Performance & Optimization

• Optimize Databricks workloads for cost efficiency and performance.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.

Governance & Security

• Implement and manage data security, access controls and governance standards using Unity Catalog.
• Ensure compliance with organizational and regulatory data policies.

Deployment

• Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
• Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.