Azure Databricks Platform Engineer - Security & Automation

TechDigital Group; Atlanta (GA); In loco; USD 90.000 - 150.000; Tempo pieno

Descrizione del lavoro

An established industry player is seeking an Azure Databricks Administrator to enhance their data management capabilities. In this pivotal role, you will deploy and manage Azure Databricks workspaces, ensuring high availability and performance while optimizing resource utilization. Your expertise in Apache Spark and CI/CD automation will be crucial in driving performance improvements and cost efficiency. This innovative firm values collaboration, working closely with data engineers and scientists to support robust data pipelines and analytics workloads. If you're passionate about data governance and performance optimization, this opportunity is perfect for you.

Competenze

• 5+ years of Azure Databricks administration and performance optimization experience.
• Expertise in Apache Spark, PySpark, SQL, and Scala is essential.

Mansioni

• Deploy and manage Azure Databricks workspaces for optimal performance.
• Collaborate with teams to support data pipelines and analytics workloads.

Conoscenze

Azure Databricks administration

Apache Spark

PySpark

SQL

Scala

Infrastructure as Code

CI/CD pipeline automation

Problem-solving skills

Communication skills

Strumenti

Terraform

Azure Monitor

Prometheus

Grafana

Azure DevOps

GitHub Actions

Jenkins

Databricks REST API

Descrizione del lavoro

Azure Data Factory (ADF), Azure Databricks & PySpark, Azure Synapse, Azure SQL, Python, and Spark SQL

Senior Data Engineer with 12+ years of experience designing and modernizing enterprise data platforms across banking, healthcare and retail domains
Architected scalable ETL/ELT pipelines using Python, PySpark, Databricks, AWS Glue and Azure Data Factory, supporting high-volume transactional and regulatory data processing.
Led enterprise-scale Data Architecture initiatives, defining logical and physical data models, governance standards and cloud-native platform blueprints across AWS and Azure environments.
Designed and implemented Medallion (Bronze/Silver/Gold) Lakehouse architectures using Delta Lake, S3, ADLS Gen2, Snowflake, Redshift and Synapse Analytics.
Engineered large-scale distributed processing workloads using Apache Spark, PySpark, Databricks, EMR, Hive and HDFS, processing billions of records for enterprise analytics.
Orchestrated complex data workflows using Apache Airflow, Databricks Workflows, AWS Step Functions and Azure Data Factory triggers, ensuring SLA-driven pipeline execution.
Strong hands-on experience in Advanced SQL, including complex joins, CTEs, window functions, stored procedures, indexing strategies, partitioning and execution plan optimization across Snowflake, PostgreSQL
and Oracle.
Built real-time streaming architectures using Apache Kafka, AWS Kinesis, Azure Event Hub and Service Bus, supporting fraud detection, claims monitoring and operational telemetry.