Databricks Architect

Acunor Infotech
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Agile Methodologies
Airflow
Amazon Web Services (AWS)
Automation of Tests
Azure
Information Systems
Continuous Integration
Information Engineering
ETL
Hive
Infrastructure as a Service (IaaS)
Python
Scrum
Power BI
SQL Databases
Data Processing
Google Cloud Platform
Spark
GIT
Data Lake
PySpark
Kubernetes
Information Technology
Data Analytics
Spark Streaming
REST
Terraform
Stream Processing
Splunk
Databricks
Programming Languages

Job description

  • Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.)
  • Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring
  • Continuously improve systems through performance enhancements and cost reductions in compute and storage
  • Data Processing and API Integration: Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs
  • Lead Data Engineering Projects to manage and implement data-driven communication systems
  • Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations
  • Integrate data across different systems and platforms
  • Strong verbal and written communication skills to manage client discussions

Requirements

  • 8+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud
  • Based out of US (Remote), Canada (remote)
  • Some experience in insurance domain/ data is must
  • Programming Languages SQL, Python
  • Technologies - IaaS (AWS or Azure or Google Cloud Platform), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL).
  • Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops
  • Project Management using Agile, Scrum
  • B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering.
  • Excellent communication & leadership skills, with the ability to lead and motivate team members

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